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From February 6-8 2023, we are happy to host the CAIDAS Workshop Data Analysis in the Digital Humanities. In this 3 day workshop, a total of 17 speakers from computer science and digital humanities will exchange their view on the challenges and opportunities of AI and data science. The workshop is co-organized by Prof. Dr. Dr. Frank Schweitzer (ETH Zürich) and Prof. Dr. Ingo Scholtes (University of Würzburg).
February 6, 2023
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In our new paper Modeling Social Resilience: Questions, Answers, Open Problems, which was recently published in Advances in Complex Systems, we present a modelling framework that captures two dimensions of resilience: robustness and adaptivity.
January 10, 2023
2022
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I wish all of you a merry christmas, happy and peaceful holidays, and a great start into a healthy and successful new year 2023!
December 24, 2022
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Today, we organize a local meetup of the Learning on Graphs Conference, held at the Center for Artificial Intelligence and Data Science (CAIDAS) of University of Wúrzburg. The meetup will start on December 21st, 12:15 in lecture hall 0.001 of the Z6 building at Campus Hubland.
December 21, 2022
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I am grateful to learn that I have received a Best Reviewer Award at the Learning on Graphs Conference.
December 12, 2022
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I am honoured and humbled to give the festive talk at this year's academic celebration of the Faculty of Physics and Astronomy, which will be held on December 12th in the Neubaukirche of University of Würzburg. In my talk, I will explore the application of concepts from physics in graph learning.
December 8, 2022
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Our paper Predicting Influential Higher-Order Patterns in Temporal Network Data has received a Best Paper Award at the IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2022).
December 2, 2022
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We are very happy to learn that all three of our submissions to the Learning on Graphs Conference have been accepted. In our first full paper submission, we introduce a novel information-theoretic approach to calculate node similarities in graphs based on the MapEquation. In a second full paper submission, we develop Causality-Aware De Bruijn-Graph Neural Networks for Time Series Data. Finally, in an extended abstract we present an information-theoretic approach to detect causal time scales in temporal networks.
November 25, 2022
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Tonight, I will contribute a talk Understanding Team Productivity: Challenges and Opportunities of Big Data on Collaborative Software Projects in the autumn 2022 lecture series Digital Worlds of Campus Oerlikon at University of Zurich.
November 24, 2022
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Tomorrow, I will contribute an invited talk to the SG Symposium The Complex Network Approach to Data Science, which will be held at ETH Zurich. In my talk, I will present our latest work on Causality-Aware De Bruijn Graph Neural Networks for Time Series Data.
November 23, 2022
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Today, I am honoured to give an invited talk at the meeting of the Zurich chapter of the German and Swiss Tolkien Society. In a first part, I will show how we can use natural language processing and graph learning technique to quantitatively analyse Tolkien's legendarium. In a second part, I will further present my long-term photography project Photographing Middle-Earth, which I recently presented in an article published by the Tolkien Society in Oxford.
November 22, 2022
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Today, I am honoured to give a talk at the user conference of Inetum AG in Zurich, Switzerland. In my talk, I give a brief introduction to machine learning. I will further show how we can apply data science and graph learning in big data on software repositories and what pitfalls await us in the analysis of massive online data sets.
November 1, 2022
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In our new work, we take a network perspective on character co-occurrences in the works of J.R.R. Tolkien. A preprint is available on arXiv. Our work has been accepted as a full paper at the conference Computational Humanities Research 2022, which will be held in Antwerp, Belgium in December 2022.
October 20, 2022
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Today, I was honoured to give an invited talk in the colloquium of the Chair of Data Science in the Economic and Social Sciences at the University of Mannheim. In my talk with the title Data Science and Social Sciences: A History of Misunderstandings, I give a historical and philosophical perspective on the evolution of data science and computational social science.
October 13, 2022
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In our latest work De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs, we introduce De Bruijn Graph Neural Networks (DBGNNs), a novel time-aware graph neural network architecture for time-resolved data on dynamic graphs. It accounts for temporal-topological patterns that unfold in the causal topology of dynamic graphs. A preprint is available on arXiv.
September 25, 2022
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Today, I will teach a course Introduction to Network Science at the summer school Ghent Summer of DANS 2022 at the University of Ghent. The course will consist of a theoretical lecture in the morning and a practical hands-on lab in the afternoon.
September 20, 2022
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Today, I am honoured to give an invited talk on Temporal Networks and Higher-Order Models of Causal Topologies at the NetDat international seminar and workshop in Dresden.
September 12, 2022
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Our manuscript Predicting Influential Higher-Order Patterns in Temporal Network Data has been accepted for publication at the IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2022). In our work, we use a multi-order generative model of paths to define time-aware centralities of nodes, and use them to predict node centralities in out-of-sample data. Our work sheds light on the importance of temporal information for the ranking of nodes in complex networks.
September 11, 2022
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We are happy to share our latest preprint Similarity-based Link Prediction from Modular Compression of Network Flows. In our work, which is the result og a collaboration with the group of Prof. Dr. Martin Rosvall at Umeå University, we use the MapEquation to calculate pairwise node similarities. The preprint is available at arXiv.
August 30, 2022
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Our manuscript Sequential Motifs in Observed Walks has just been published online in the interdisciplinary Journal of Complex Networks. I am grateful to my collaborators Dr. Timothy LaRock (University of Oxford) and Prof. Dr. Tina Eliassi-Rad (Northeastern University).
August 24, 2022
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Today I will give a seminar talk at the Center For Computational And Theoretical Biology at Julius-Maximilians-Universität Würzburg.
July 27, 2022
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Today I will give a lecture on higher-order graph models at the Summer School on Mathematics of Complex Social Systems, which is held at the Berlin Mathematics Research Center Math+, Germany.
June 13, 2022
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We are happy to learn that our poster submission Willing to revise? Confidence and Recommendation Adoption in AI-Assisted Image Recognition has been accepted at the International Conference on Hybrid Human-Artificial Intelligence in Amsterdam, Netherlands.
May 12, 2022
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Today we are launching our new MSc course Machine Learning for Complex Networks at the Institute for Informatics of Julius-Maximilians-Universität Würzburg. The course has been designed from scratch and it covers state-of-the-art machine learning techniques for graph data, including community detection and link prediction, graph representation learning and graph neural networks. The lectures are accompanied by more than 50 jupyter notebooks in which we implement modern graph learning techniques.
April 27, 2022
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Today I am honoured to speak at the National Center for Scientific Research Demokritos in Athens, Greece. In my virtual talk, I will introduce recent developments in the use of higher-order graph models to understand complex systems.
February 23, 2022
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What is the Markov order of paths in a network? In our latest work, which has been accepted for publication at The Web Conference (WWW'22), we use Bayesian inference and model selection to address this important question in the modelling of time series data on networks. A preprint is available on arXiv.
February 9, 2022
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On January 20th, I will give an introductory lecture on foundations of machine learning at the Second Zurich Symposium on Machine Intelligence in Neuroscience.
January 20, 2022
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On January 14th, I will give a talk in the AI Talks @ JMU series. The talk with the title What makes teams successful? Insights from Repository Mining, Network Science, and Empirical Software Engineering addresses the question how we can use massive data on software repositories to gain insights into collaborative software engineering.
January 14, 2022
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The final report of our Dagstuhl Seminar on Higher-Order Graph Models: From Theoretical Foundations to Machine Learning has now been published in the series Dagstuhl Reports of the Leibniz Zentrum für Informatik.
January 7, 2022
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In our new preprint Sequential Motifs in Observed Walks, we use higher-order graph models for causal paths to analyze patterns in time series data on networks. The study has been led by collaborators at Northeastern University in Boston, USA.
January 4, 2022
2021
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I wish all of you a merry christmas, happy and peaceful holidays, and a great start into a healthy and successful new year 2022!
December 25, 2021
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We have released a preprint of our latest workInference of time-ordered multibody interactions. In this work, we propose a method that can use data on multivariate Markov chains to decompose the underlying interactions into ensembles of time-ordered multibody relationships.
December 9, 2021
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Our work Big Data = Big Insights? Operationalizing Brooks’ Law in a Massive GitHub Data Set was accepted for the technical track of the 44th International Conference on Software Engineering (ICSE). In our paper, we highlight methodological and epistemological challenges in the analysis of team productivity in massive repository data. Our study has been collaboratively conducted with researchers from ETH Zürich.
December 3, 2021
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Next week, I will give a keynote with the title What makes teams successful? Insights from Repository Mining, Network Science, and Empirical Software Engineering at the Institute for AI in Management of Ludwig-Maximilians-Universität München. In my talk, I will give an overview of our works in which we applied network science and machine learning to better understand human and social aspects in software development.
November 10, 2021
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Next week, I will give a talk on Modelling higher-order dependencies in complex systems at the Computational Social Science Seminar held at ETH Zürich. In my talk, I will present new developments in the modelling of complex systems based on higher-order graph models. I am looking forward to speak at ETH Zürich!
November 9, 2021
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From today, I will be heading the Chair of Computer Science XV - Machine Learning for Complex Networks at the Center for Artificial Intelligence and Data Science of Julius-Maximilians-Universität Würzburg. I am honoured and excited to join a dynamic, research-intensive, and fast-growing computer science department in one of Germany's oldest universities!
August 15, 2021
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Our new work on the application of multi-order generative models to predict influential higher-order patterns in time series data on networks is now available on arXiv.
July 28, 2021
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Today I am honoured to give a keynote talk on Higher-Order Network Science: From Theoretical Foundations to Machine Learning at the NetSci 2021 Satellite Workshop on Higher-Order Models in Network Science (HONS 2021). In my talk, I will give a historical perspective on network science and higher-order models and I will outline three open challenges that limit the impact of higher-order models in practice.
July 1, 2021
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I currently have five fully-funded positions available at my Chair: Three positions are for PhD students, who are expected to work on topics like graph learning, network analysis, and computational social science. Two positions are for postdocs/senior researchers with an interest in network science, human-AI collaboration, or large-scale data processing. Please contact me via E-Mail in case you are interested.
June 18, 2021
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We are happy to announce that today our latest work studying causal mechanism behind the Ringelmann effect in software development teams has been published in the journal Empirical Software Engineering. In our article, we find strong evidence for the hypothesis that the need to edit code previously written by other developers negatively affects developer productivity. We further show how our python package git2net can be used to perform large-scale analysis of co-editing networks.
May 26, 2021
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This week, we are starting a new edition of our MSc course Statistical Network Analysis. This course provides an essential introduction to the statistical modeling and analysis of complex networks across disciplines. It covers both theoretical foundations as well as practical network analysis tasks and introduces key statistical learning techniques for graph data.
April 9, 2021
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Our three submissions to the 11th Temporal Web Analytics Workshop held at The Web Conference 2021 in Ljubljana were accepted for publication. A first contribution proposes PaCo, a scalable algorithm to calculate causal paths in temporal networks, a second contribution presents our data analytics package pathpy, in a third contribution we demonstrate our recently developed dynamic graph visualization HotVis.
February 25, 2021
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I am thrilled to announce that our proposal for a Schloss Dagstuhl seminar on Higher-Order Graph Models: From Theoretical Foundations to Machine Learning was accepted! The seminar will be held from August 29 to September 1st 2021! Thanks to my collaborators Tina Eliassi-Rad, Martin Rosvall, and Vito Latora.
January 14, 2021
2020
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Our latest work Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net has been accepted for publication in Empirical Software Engineering. Extending our previous studies, in our work we use time series data from gitHub to provide new insights into the mechanisms behind the Ringelmann Effect in collaborative software engineering.
December 30, 2020
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Our work Higher-order models capture changes in controllability of temporal networks has been accepted for publication in Journal of Physics: Complexity. In this work, we show that we can use higher-order graph models to understand how the chronological ordering of links in dynamic networks influences the controllability of linear dynamical processes.
December 1, 2020
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Tomorrow, I am honored to give the opening keynote Data Science and Social Sciences - A History of Misunderstandings at the annual convention of the German Society of Didactics (GFD) held (virtually) at the University of Regensburg. In my talk, I will discuss the epistemological history of data science and empirical social sciences, which are a source of frequent misunderstandings between the disciplines.
September 22, 2020
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Tomorrow, we will hold the seventh edition of our satellite symposium Higher-Order Models in Network Science (HONS), which will be (virtually) held in conjunction with NetSci 2020 in Rome, Italy.
September 16, 2020
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Today, we will teach a course on at the 5th International Summer School on Data Science, organized (virtually) by the Center of Research Excellence for Data Science and Advanced Cooperative Systems.
September 8, 2020
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We are happy to announce that our work HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs has been accepted for publication at GraphDrawing (GD) 2020, which is held virtually at the University of British Columbia in Vancouver, Canada.
August 17, 2020
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The August issue of the ada magazine includes an article on the science of complexity, which prominently features our research on the analysis of dynamic complex networks. The (German) article is freely available online.
August 16, 2020
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I recently gave an interview on Computational Social Science for the Erium Data Science Podcast. In this podcast, I discuss the challenges and opportunities that lie at the intersection between data science and the social sciences. The interview is available here.
July 25, 2020
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In our new preprint Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders we address the problem of predicting paths in networks, an important machine learning problem with applications in information retrieval, recommender systems, or demand prediction in smart mobility scenarios. Our experiments in synthetic and real-world data shows that our method outperforms state-of-the-art sequence prediction methods, while being highly scalable even in data sets with millions of paths.
July 13, 2020
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We have just published the new preprint Learning the Markov order of paths in a network. In this work, we address the important yet challenging problem to efficiently determine the optimal maximum order of models of variable-length paths observed in networks. Using synthetic experiments as well as real-world data on click streams and mobility trajectories, we show that our method is considerably more data efficient and reliable than existing techniques.
July 6, 2020
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I am happy to announce five (!) additional fully-funded PhD and postdoc positions positions. Four openings (three % PhD positions and one 100% postdoc position) are available at the Chair of Data Analytics at University Wuppertal, Germany. One more postdoc position (100 %) is available in the context of an SNSF project on Next-Generation Network Analytics for Time Series Data within the Data Analytics Group at the University of Zurich. Those positions are in addition to the previously published call for a PhD position in Social Computing and Artificial Intelligence. The official advertisement will be published soon. Feel free to get in touch with me if you consider an application.
May 28, 2020
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We currently offer a fully-funded PhD student position, jointly supervised by the Data Analytics Group and the Social Computing Group at University of Zurich. The call for applications is available online. Review of applications will begin on June 1st. We look forward to your applications!
May 18, 2020
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I am deeply honored to announce that I have been invited to give a keynote at the Annual Conference for Teaching Methodology, which will be held at University of Regensburg in September. I will talk about the application of data science and machine learning in the social sciences.
March 9, 2020
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We are happy to announce that the 2020 edition of our satellite workshop on Higher-Order Models in Network Science (HONS) at NetSci 2020, the International School and Conference on Network Science, which will be held in Rome in July 2020.
March 1, 2020
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Next semester, I will give a new course on Statistical Network Analysis at University of Wuppertal. The course is the continuation of a popular course on Complex Networks, which I have developed and taught at ETH Zürich.
February 15, 2020
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Tomorrow, I will give a talk at the Interdisciplinary Symposium on Resilience and Performance of Networked Systems, which celebrates 15 years of Systems Design at ETH Zürich.
January 15, 2020
2019
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We are glad to announce that our paper Detecting Path Anomalies in Time Series Data on Networks has been accepted as a full paper at the SIAM International Conference on Data Mining (SDM) 2020, which will be held in Cincinatti, Ohio, USA.
December 18, 2019
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Great news! Our grant application in the context of the Bergisch.Smart initiative was successful! I have a fully funded PhD position on demand prediction in ride hailing services available at the University of Wuppertal! Contact me if you are interested!
October 23, 2019
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Next week, I will give an overview of our research in the colloquium of the Institute of Mathematical Modelling, Analysis and Computational Mathematics (IMACM)
October 15, 2019
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Next week, I will start teaching a newly developed MSc course Introduction to Data Science. The course consists of 30 theory and practice lectures. It introduces the theoretical foundation of data science and machine learning techniques, shows how we can implement them in python, and demonstrates how we can apply them to real-world problems.
October 2, 2019
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Tomorrow, Markus Strohmaier and me will host the Data Science track at INFORMATIK 2019, the 49th annual conference of the German Informatics Society. A dedicated Best of Data Science made in DE/AT/CH track features selected works that have been published at international top venues in data science and machine learning.
September 23, 2019
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On next Monday, I am honored to deliver an inaugural lecture on Networks in Space and Time at the University of Zurich. The lecture will be given on Monday, September 16th in the Aula of University of Zurich at 17:00.
September 11, 2019
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Today, I will give a tutorial on Higher-order Network Analytics for Time-Stamped Data on Social Interactions at the European Symposium on Societal Challenges in Computational Social Science in Zurich. In the tutorial I will present novel techniques to analyse time-stamped interactions implemented in the software package pathpy.
September 2, 2019
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We are proud to present our new preprint on temporal network visualisation. In our work, we introduce a novel force-directed graph drawing algorithm that highlights the causal structures in time series data on networks.
August 16, 2019
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I am excited to announce that from July 1st, I will head the Chair of Data Analytics as a Full Professor at the University of Wuppertal. I look forward to continuing my research on new data analytics techniques with great new colleagues in the Faculty of Mathematics and Natural Sciences and the School of Electrical, Information and Media Engineering. I will additionally maintain my group at the Department of Informatics of University of Zurich.
June 26, 2019
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I am excited to announce that from July 1st, I will head the Chair of Data Analytics as a Full Professor at the University of Wuppertal. I look forward to continuing my research on new data analytics techniques with great new colleagues in the Faculty of Mathematics and Natural Sciences and the School of Electrical, Information and Media Engineering. I will additionally maintain my group at the Department of Informatics of University of Zurich.
June 26, 2019
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Today I express my thanks to the Chair of Systems Design at ETH Zürich, which organised the first official pathpy user meeting. During this event, we discussed common use cases, open issues, as well as our roadmap for the future development of pathpy.
June 17, 2019
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We proudly announce that our work git2net: Mining Time-Stamped Co-Editing Networks from Large git Repositories published at MSR 2019 received a special mention in the FOSS Impact Paper Award, which recognizes outstanding contributions to the Free and Open Source Software (FOSS) community.
May 27, 2019
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On May 28th 2019, the sixth edition of our satellite symposium on Higher-Order Models in Network Science (HONS) will be held at NetSci 2019 in Burlington, VT, USA. We have a great line-up of speakers presenting the latest advances in the modelling of higher-order dependencies in networks.
May 9, 2019
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Tomorrow, I will give a lecture Demystifying Machine Learning at the Neurosurgery Department of the University Hospital Zürich.
April 24, 2019
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I look forward to talk at tomorrow's Behavioral Studies Colloquium, which is organized at the Department of Humanities, Social, and Political Science at ETH Zürich. I will talk about our research on Data Analytics in Social Organizations.
April 15, 2019
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I am excited to announce our international symposium Computational Social Science - Quo Vadis?, which will be held on April 26 at University of Zurich in honor of Kathleen M. Carley. A line-up of world-class speakers in data science and computational social science will present recent advances in the field.
April 3, 2019
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Happy to break the news that our perspective article From networks to optimal higher-order models of complex systems was just published in the journal Nature Physics.
March 25, 2019
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I am happy to announce that our submission git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories was accepted as a full technical paper at the conference MSR 2019. We are looking forward to present our work in Montral, QC, Canada!
March 2, 2019
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In September, I will be co-chairing the Data Science track at the 50th anniversary annual conference of the German Informatics Society (GI e.V.). Apart from original contributions, we specifically welcome your contributions for the session Best of Data Science made in DE/CH/AT showcasing research works recently published at top-tier data science and machine learning venues.
February 25, 2019
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Today we will officially launch our seminar on Big Data, AI, and Society. Taking place in the spring semester 2019 at University of Zurich, this seminar will introduce participants to a number of complex ethical and scientific issues arising at the intersection between data science, computational social science, and machine learning.
February 21, 2019
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Tomorrow I will give an invited seminar talk in the CRiSM Seminar Series of the Department of Statistics at the University of Warwick, UK.
February 13, 2019
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It is my pleasure to announce that the 2019 edition of our NetSci satellite symposium on higher-order network models has been accepted. Looking forward to see you all in Burlington, Vermont, USA.
February 10, 2019
2018
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Tomorrow, I am honored to host a talk by Prof. Tina Eliassi-Rad of Northeastern University. Tina will give a talk on Just Machine Learning at the Fall 2018 Colloquium series of the Department of Informatics at University of Zurich.
December 19, 2018
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Tomorrow, I will give an invited talk in the Foundations of Cognitive Computing group at IBM Research in Rueschlikon. In my talk, I will introduce our works on optimal higher-order data analytics for time series data.
October 10, 2018
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On Wednesday, I will give a talk and tutorial on higher-order data analytics at the Complexity Science Hub in Vienna. A general introduction to higher-order network analytics will be followed by a 4 hour live tutorial, in which I demonstrate these techniques with pathpy.
September 3, 2018
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On August 22 we will give a full-day hands-on tutorial on Higher-order Data Analytics for Temporal Network Data at KDD'18 in London, UK. In this tutorial we introduce higher-order graph analytics with the software packages pathpy and Infomap.
August 22, 2018
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Today we released the greatly improved version 2 of pathpy, an OpenSource software package bringing higher-order network analytics to python. pathpy is now available via the python package index. A comprehensive educational tutorial on pathpy is available here.
August 20, 2018
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An exciting day: Today I started my new position as an SNSF Professor of Data Analytics at the University of Zurich. I am looking forward to collaborate with my great new colleagues at the Department of Informatics.
August 1, 2018
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Tomorrow, I will give a seminar talk on optimal models for complex systems at the Iain Couzin lab in the Department of Collective Behavior of the Max Planck Institute for Ornithology at University of Konstanz.
July 9, 2018
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Summarising the outcome of the last meeting of the Data Science Task Force in Berlin, the German Informatics Society (GI) has now published a collection of viewpoints on data science. My contribution to this collection is this (German) article, which highlights the potential of data science for the social sciences.
June 20, 2018
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This week, I look forward to giving three talks at Netsci in Paris, France: One in the symposium on Statistical Inference in Network Models, a second one in the symposium on Machine Learning in Network Science, and a third one in the main conference.
June 12, 2018
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Tomorrow, we will be hosting the fourth edition of our satellite workshop on Higher-Order Network Models at NetSci 2018 in Paris, France. Looking forward to meeting you at L'École de Musique.
June 11, 2018
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I am hiring two PhD students, fully funded for four years, to work with me on a project on Next-Generation Network Analytics for Time Series Data in the newly established Data Analytics Group at University of Zurich. All information can be found in this call for applications. Review of applications will begin June 1st and continue until positions are filled.
May 18, 2018
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Next Tuesday, I will give an invited talk on Data Analytics in Social Organizations at the Computation and Society Workshop hosted at EPFL Lausanne. I look forward to interesting discussions!
May 17, 2018
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On April 13, I will give a talk "Learning Optimal Models of Causal Topologies in Temporal Data Streams" at the ETH Zurich symposium on Networks, Time, and Causality.
April 13, 2018
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Great news: Our tutorial Beyond Graph Mining: Higher-Order Data Analytics for Temporal Network Data has been accepted for KDD 2018. We look forward to give a full-day hands-on introduction to higher-order network analytics (including a tutorial on pathpy) in London in August!
April 8, 2018
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Today it will be my pleasure to host the Focus Session on Computational Social Science at the 2018 Spring Meeting of the German Physical Society in Berlin.
March 15, 2018
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I am looking forward to talk about my work on representation learning in temporal network data at the 2018 Spring Meeting of the German Physical Society in Berlin.
March 14, 2018
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I am incredibly honored and grateful to learn that I have been awarded an SNSF Professorship by the Swiss National Science Foundation. As an SNF Professor, I will establish a new data and network analytics research group at the Department of Informatics at the University of Zurich.
March 1, 2018
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I am looking forward to attend a meeting of the Data Science Task Force of the German Informatics Society (GI) in Berlin. Interesting discussions on data science curricula in computer science and in other disciplines ahead!
January 30, 2018
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Tomorrow I will give a talk on data-driven modelling of social systems at a workshop of the project Complex Ethics in Socio-Technical Systems, hosted at the University of Potsdam.
January 28, 2018
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I am honored to join the line-up of editors of the journal EPJ Data Science. I look forward to serve the interdisciplinary community publishing in this exciting, young data science outlet.
January 22, 2018
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I am happy to announce that the fifth edition of our workshop series on Higher-Order Models in Network Science (HONS) will take place at NetSci, the flagship conference in Network Science held in Paris in June 2018.
January 11, 2018
2017
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Today, I am going to give a talk on my recent research on optimal multi-order network models at the Network Science Institute of Northeastern University, Boston, MA, USA.
November 7, 2017
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My research on new data mining techniques for time-stamped and sequential data on complex networks was covered in this ETH News article.
August 14, 2017
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Our paper on network inference in noisy data was accepted for publication at the 9th International Conference on Social Informatics (SocInfo).
July 15, 2017
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I am happy to announce that our recent work on the inference of graphs from noisy relational data was accepted for presentation at the 13th International Workshop on Mining and Learning with Graphs, which is co-located with KDD'17.
June 26, 2017
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Today, I was honored to give an invited talk at the 10th satellite on Dynamics on and of Complex Networks in Indianapolis, USA. In my talk Learning from Relational Data: Beyond Maximum Entropy Models, I study the question what machine learning and statistical physics can learn from each other.
June 19, 2017
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Great news! My latest work on multi-order graphical models for sequential and time-resolved relational data was accepted as a research paper at KDD 2017, the premiere data mining conference. I look forward to present it in Nova Scotia in August!
May 16, 2017
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I am excited and honored to give an invited talk on our recent works on higher-order network models at the Symposium on Controlling Complex Systems in Indianapolis, IN, USA.
May 4, 2017
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Our recent study on the influence of social networks on editorial processes in a major scientific journal has been covered in a news article in nature Index.
April 30, 2017
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I am happy to announce that the program of our NetSci 2017 satellite workshop on Higher-Order Models in Network Science is now available online. We are proud to feature a great line up of invited speakers.
April 15, 2017
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How do prior coauthorship relations between authors and editors influence editorial processes? In our latest work we have quantitatively studied this question using network analysis and statistical modeling techniques. This work has now been published in the journal Scientometrics.
March 30, 2017
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As a companion to my most recent work on model selection in relational data, I have now released the python package pathpy. With pathpy, testing whether a network abstraction of pathway and temporal network data is justified can be done just in few lines of code. pathpy also provides a simple way to infer (and analyze) optimal graphical abstractions of relational data.
March 19, 2017
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When are network abstractions of relational data justified? My new work allows to answer this crucial question for various kinds of sequential data in a principled way. It further provides a method to infer higher-order graphical models which capture both topological and temporal characteristics of pathways and temporal networks.
February 21, 2017
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I am looking forward to visit the Centre for Science and Technology Studies in Leiden, Netherlands to discuss about data science applications in large bibliographic data.
February 8, 2017
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I am excited to announce the third edition of our satellite workshop on Higher-Order Models in Network Science, to be held on June 20 in Indianapolis, IN, USA.
January 31, 2017
2016
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I wish all of you happy holidays and a peaceful, healthy and successful new year!
December 24, 2016
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Next week, I will give a talk with the title From Big to Complex Data: Pushing the Limits of Graph Mining and Network Analysis at the Institute for Machine Learning at ETH Zürich. In my talk, I will summarize key challenges in the application of network-based methods to complex relational data.
December 15, 2016
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I am looking forward to give a plenary talk about our work studying the Ringelmann effect in software development teams at the 3rd Computational Social Science Winter Symposium in Cologne tomorrow.
November 30, 2016
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I recently gave an interview about the rise of bots in social media, which is featured in this article (in German) at the news portal technikjournal.de.
November 18, 2016
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I am looking forward to present our works on the application of higher-order networks to analyze time-stamped network data at LIP6 at Université Pierre et Marie Curie in Paris, France tomorrow.
October 18, 2016
Today, I will give a lightnining talk which highlights how Computer Science can benefit from Computational Social Science methods. The talk serves as an opening statement of the World Café discussion round at the symposium of the GI topical section on computer science and society in Klagenfurt, Austria.
September 26, 2016
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The developer portal JAXEnter has published an article on our recent work From Aristotle to Ringelmann: a large-scale analysis of productivity and coordination in Open Source Software projects.
September 9, 2016
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Our article From Aristotle to Ringelmann: a large-scale analysis of productivity and coordination in Open Source Software projects has been covered by the IEEE Software blog of the IEEE Computer Society.
August 22, 2016
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Our new preprint Generalized Hypergeometric Ensembles: Statistical Hypothesis Testing in Complex Networks has just been posted online at arXiv. In this work, we develop a new analytical framework for model selection and hypothesis testing in relational data.
July 8, 2016
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Tomorrow, I will head to Austin, TX, USA for this year's edition of ICSE. Here, I am looking forward to talk about our recent article From Aristotle to Ringelmann: a large-scale analysis of productivity and coordination in Open Source Software projects in the main track on Wednesday, 2:40 pm.
May 16, 2016
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In the beginning of April I have started a new position as an interim professor at the Institute AIFB at the Karlsruhe Institute of Technology. I feel honored and excited about this unique opportunity to teach and collaborate at the prestigious KIT!
April 29, 2016
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Next week, I will be honored to give a guest lecture in the Elite Graduate Program in Software Engineering at Augsburg University. In this lecture, I will show challenges and opportunities that arise in the application of network science techniques to study collaborative software engineering processes.
April 14, 2016
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How can we teach kids that Computer Science is exciting? We welcome your ideas at our workshop Informatik Begeisterung, which will be held at the Informatik 2016 annual meeting in Klagenfurt, Austria.
April 5, 2016
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Our book chapter An ensemble perspective on multi-layer networks has now been published in the Springer book Interconnected Networks.
March 10, 2016
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Great news: Our latest work Higher-Order Aggregate Networks in the Analysis of Temporal Networks: Path structures and centralities has now been published in the European Physics Journal.
March 5, 2016
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Next week, I will present our latest article From Aristotle to Ringelmann: a large-scale analysis of productivity and coordination in Open Source Software projects at the largest German-speaking Software Engineering conference SE 2016.
February 19, 2016
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I am excited to announce that our recent article From Aristotle to Ringelmann: a large-scale analysis of productivity and coordination in Open Source Software projects has been selected for an invited talk in the journal first track of ICSE 2016, the world's premier conference in software engineering.
January 19, 2016
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Today, I look forward to teach an invited lecture on Mining High-Frequency Data on Temporal Networks at the Workshop on Complex Network Mining and Analysis, Wroclaw University of Technology, Poland
January 9, 2016
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I am happy to announce that our article From Aristotle to Ringelmann: a large-scale analysis of productivity and coordination in Open Source Software projects has now been published in Empirical Software Engineering. In this paper, we use Big Data and network analysis methods to study the relation between the productivity and size of software development teams.
January 4, 2016
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Today, the Nikon blog Nikon Rumors published a guest post on my recent trekking tour through the Scottish Highlands.
January 3, 2016
2015
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I wish all visitors merry christmas holidays, and a good start into a healthy and successful new year!
December 24, 2015
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Next week, I will teach a PhD course on Complex Networks within the Future Resilient Systems programme at the Singapore-ETH Centre (SEC). In this one week course, I will cover techniques for the modeling and analysis of complex networks.
December 4, 2015
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Today, I will talk at the workshop Application of network theory on computational social science held at the GESIS Winter Symposium in Cologne. In this talk I will introduce our recent works on the mining of time-stamped network data.
December 1, 2015
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Tomorrow, I look forward to give a talk at the Leibniz Institute for the Social Sciences (GESIS) Cologne. In this talk I will summarize our works on the application of network-bases data mining techniques to social organizations.
November 29, 2015
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Next week, I will give a seminar talk at the Luxembourg Centre for Systems Biomedicine. In this talk I will give an overview of my recent research on temporal network analysis.
November 21, 2015
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Next week, I am honored to participate in the Dagstuhl seminar on Social Concepts in Self-organising Systems. I look forward to an exciting week with a number of colleagues studying socio-technical systems.
November 20, 2015
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Next week, I will be happy to give a talk at the Symposium on Computational Social Science at ETH Zürich. In this talk I will introduce our latest research on data mining applications in social organizations.
October 25, 2015
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Tomorrow, I am honored to give an invited talk in the Channing Network Science Seminar at Harvard Medical School. In this talk I will give an overview of my recent research on temporal network analysis.
September 24, 2015
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Tomorrow I will give a talk about our most recent works on non-Markovian temporal networks at the Laboratory for the Modeling of Biological and Socio-Technical Systems, headed by Prof. Dr. Alex Vespignani at Northeastern University, Boston, USA. I look forward to the discussion and I am grateful for the opportunity to talk.
September 23, 2015
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Last week, I returned from a memorable 7-day trek across the West Highland Way in Scotland. Today, I am happy to share some first (photographic) impressions from this amazing trip in the hiking section of my website.
September 18, 2015
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In our new preprint Higher-Order Aggregate Networks in the Analysis of Temporal Networks: Path structures and centralities we demonstrate how our theoretical framework of higher-order time-aggregated networks can be used to arrive at better proxies for path-based centralties in temporal networks.
August 28, 2015
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My latest article titled Understanding Complex Systems: When Big Data meets Network Science has now been published in the journal it - Information Technlogy. In this self-portrayal of my research, I discuss applications of relational data mining in the context of Big Data.
August 4, 2015
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The topical issue on Structure and Dynamics of Collaborative Software Engineering: A Complex Networks Perspective has now been published in the journal Advances in Complex Systems. The topical issue provides an overview over state-of-the-art research on network-based data mining and modeling techniques applied to software engineering processes. The issue was co-edited by Marcelo Cataldo, Peppo Valetto and myself.
July 29, 2015
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I'm happy to announce that, following numerous requests, canvas prints of many of my photographs are now for sale from fineartinternational.com. International shipping is available. Please stay tuned as more pictures will be included over time. For photographs where prints are available, a direct link in my gallery will take you to available products.
July 25, 2015
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Tomorrow, I'll be happy to talk about our latest research on the analysis of time-stamped relational data at the interdisciplinary CECAM workshop Recognizing the Relevance of Change: Analysis and Control of Time-evolving Networks in Epidemiology and Evolutionary Medicine at Freie Universität Berlin.
July 20, 2015
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This article titled Understanding dynamic networked systems: when ordering matters published in the FOCAS Reading Room provides an easy-to-follow overview of our latest research on the analysis of time-stamped relational data.
June 22, 2015
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Today, I am excited to present a hands-on insight into my latest research on the analyis of time-stamped relational data. Showcasing my recently developed python module pyTempNet, the following educational python tutorial on temporal network analysis allows to reproduce our latest findings on the impact of non-Martkovian characteristics in temporal networks.
May 21, 2015
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The program of our satellite workshop Higher-order models in Network Science (HONS 2015), which will be held on June 2nd at Netsci 2015 in Zaragoza, Spain is now online. The workshop features a line-up of excellent talks. See you in Zaragoza.
May 17, 2015
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Good news: in 2015 there will be another edition of our satellite workshop Higher-order models in Network Science (HONS 2015), which will be held on June 2nd at Netsci 2015 in Zaragoza, Spain.
March 26, 2015
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I am looking forward to present our recent paper Automated Software Re-modularization Based on Move Refactoring at the Multiconference on Software Engineering & Management (SE 2015), to be held in Dresden, Germany.
March 17, 2015
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This semester, I am excited to teach the second iteration of the course Complex Networks at ETH Zürich. The course will cover the modeling and analysis of large-scale networked data, with particular applications in the context of data mining and Big Data.
February 23, 2015
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I am looking forward to talk at this workshop, addressing the question if and how we can quantify scientific impact. The workshop is on an invitation-only basis, and will be held in the context of the COST KNOWeSCAPE action at Villa Hatt, Zürich from February 12-13.
February 10, 2015
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The Call for Papers of IEEE SASO 2015, a premiere conference addressing the engineering of self-organizing and self-adaptive systems is now out. I kindly invite you to submit your work. See you in Boston in September.
February 03, 2015
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Our latest work on the relation between collaboration networks and citations was covered in an article in EuroScientist. In our paper, which has been published in EPJ Data Science, we show that the citation success of scientists can be predicted, with surprising accuracy, based on their centrality in the coauthorship network.
January 21, 2015
2014
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I wish all of you a merry christmas, peaceful holidays and a happy and healthy new year 2015!
December 25, 2014
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Today I gave a talk on our recent work on the Modelling of Non-Markovian Temporal Networks at the second annual KNOWeSCAPE conference held at the Piraeus Bank Conference Centre in Thessaloniki, Greece. I would like to thank both the organizers and the audience.
November 26, 2014
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I am honored by the fact that Microsoft recently released another Windows themepack covering 15 of my pictures of Yosemite National Park.
November 16, 2014
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I would like to express my thanks to the great audience attending my talk today at the Zürich Seminar on Applied Statistics. I really enjoyed the talk and the questions.
October 23, 2014
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Our latest work "Causality-driven slow-down and speed-up of diffusion in non-Markovian temporal networks" has just been published in Nature Communications. In this article, we study the influence of order correlations on causality structures in time-stamped network data.
September 24, 2014
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Today, I look forward to talk at the workshop Big Data and Society at the Technical University of Stuttgart, Germany. My talk will discuss the Social Dimension of Information Ranking and I look forward to interesting discussions.
September 22, 2014
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Today, I was honored to deliver the opening keynote at SASO^ST, this year's IEEE SASO workshop dedicated to socio-technical systems. In my talk, I discussed current trends in data science, as well as a number of resulting societal challenges. I would like to thank the audience for the vivid discussion.
September 12, 2014
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Today, I am looking forward to our 6 hour tutorial on Complex Networks, which will be held tomorrow at IEEE SASO 2014 in London, UK. We welcome all participants who are interested in a concise introduction to analytical methods used in network science, as well as their application in distributed systems engineering.
September 7, 2014
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The book Social Informatics: The Social Impact of Interactions between Humans and IT, to be released on October 14th, is now available for preorder. This book contains selected contributions presented at last year's workshop SozioInformatik, which address the complex relations between social and technical systems.
September 3, 2014
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Following NetSci 2014, I was lucky enough to spend a couple of days at Yosemite National Park. My fifteen favorite photographic impressions from Yosemite can now be found here.
August 11, 2014
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I am honored to be awarded a Juniorfellowship of the German Informatics Society (Gesellschaft für Informatik e.V. (GI). I look forward to use my role as GI Juniorfellow to actively contribute to the development of computer science.
July 21, 2014
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I am honored to co-organize a workshop addressing the influence of social aspects in information systems at the 6th International Conference on Social Informatics (SocInfo). A call for papers is available here.
July 14, 2014
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I am looking forward to talking in the Lightening Talk session of NetSci 2014 on Friday, June 6, 2014. The slides of my talk are available here.
June 5, 2014
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Tomorrow, I will present our latest work on higher-order aggregate networks at the NetSci satellite Higher-Order Models in Network Science in Berkeley, CA, USA. The slides of my talk are available here.
June 2, 2014
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I am looking forward to teach a 7 hour course on Complex Networks on Sunday, June 1st at the iSocial and EMJD-DC Joint Summer School in Stockholm, Sweden.
May 30, 2014
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Next week, I am going to present our recent work on software remodularisation at the 13th International Conference on Modularity in Lugano, Switzerland.
April 17, 2014
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I look forward to talk at the Lorentz center workshop Simulating the Social Processes of Science, which is being held in Leiden, Netherlands in the context of the COST action TD1210 KNOWeSCAPE.
April 06, 2014
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I am excited to co-organise the NetSci satellite Higher-Order Models in Network Science. It will address the question when the complex networks framework is sufficient to model complex systems and when higher-order models are needed. The workshop is co-organized by Renaud Lambiotte, Martin Rosvall and myself and it will be held on June 3rd at University of California, Berkeley, USA.
March 10, 2014
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Today, I presented our work Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities at the conference Software Engineering 2014, the largest software engineering conference in the german-speaking countries.
February 27, 2014
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I am happy to coorganise the second international workshop on self-optimisation in organic and autonomic computing systems. Co-located with the long-tradition International Conference on Architecture of Computing Systems (ARCS), the workshop will be targeted at computer scientists and engineers, who want to better understand how self-optimising systems can be designed.
February 25, 2014
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The Call for Papers for one of my favorite CS conferences, the IEEE International Conference on Self-Adaptive and Self-Organizing Systems, is now online.
January 31, 2014
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I am looking forward to present our work Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities at the forthcoming conference Software Engineering 2014.
January 27, 2014
2013
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Our work Automated Software Re-modularization Based on Move Refactoring has been accepted as a research paper at the 13th International Conference on Modularity 2014.
December 14, 2013
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Today, I was honored to talk at the First Annual KNOWeSCAPE conference in Espoo, Finland. The slides of my talk are available online.
November 20, 2013
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Following the release of the two 'Scenic Europe' themepacks by Microsoft, I have received encouraging messages and questions from a number of people across the world. Overwhelmed by this feedback, thought that some of those appreciating the themepacks may be interested to learn more about the locations depicted in the images. For those interested in such 'Behind the Scenes' information, this article provides interesting background on locations, motifs and shooting conditions of the 13 images covered in the first themepack.
November 1, 2013
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I am looking forward to attend the second Hünfeld workshop discussing perspectives in the Organic Computing research area tomorrow. The goal of this workshop is to further develop the research agenda in the area of engineering and managing self-organising and self-adaptive systems.
October 27, 2013
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I would like to let you know about this forthcoming workshop, which will be held next February at the International Conference on Architecture of Computing Systems (ARCS'14) in Lübeck, Germany. In addition to algorithms, methods and applications for self-optimisation, the workshop will host a special session focusing on applications of complex sciences in the engineering of computing systems. A Call for Papers is available at the workshop's website.
October 25, 2013
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Today, I feel feel very honored learning that Microsoft has just published a second themepack "Scenic Europe 2" that is dedicated to my photographic works. The themepack is available for free in the Windows Personalization Gallery. It contains 12 desktop images covering locations like Budapest, Corsica, Lake Lucerne, the Isle of Skye, the Swiss Alps, Munich, Zurich or United Kingdom.
October 22, 2013
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The slides of the tutorial Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization held at IEEE SASO 2013 are now available online.
September 20, 2013
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Tomorrow, I will talk at the European Conference on Complex Systems (ECCS). I will be presenting our recent works on force-based layouts of non-Markovian temporal networks. The slides of my talk are available online.
September 19, 2013
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I am honored to give an invited talk at the ECCS satellite workshop QUantifying Success 2013. In the talk I will present our recent works about success in Open Source Software and scientific communities. The slides are available online available online.
September 17, 2013
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Tomorrow, I will be presenting our recent works on social information systems at the workshop Sozioinformatik 2013 held at the GI annual meeting in Koblenz. Apart from our latest research results, I will highlight interesting emerging questions and research challenges in the design of socio-technical systems.
September 15, 2013
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In a bit more than 7 hours, I am going to give the tutorial Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization at IEEE SASO 2013. I am looking forward to your attendance. Please stay tuned for the lecture material, which will be available online shortly after the tutorial.
September 13, 2013
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I am looking forward to be in the panel Social Implications of SASO Systems and Technologies at IEEE SASO 2013 tomorrow.
September 11, 2013
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I am looking forward to talk at the workshop Self-Adaptive and Self-Organising Socio-Technical Systems (SASO^ST) held at IEEE SASO 2013 tomorrow.
September 8, 2013
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I am looking forward to talk at the University of Nebraska, Omaha about Topological and Temporal Complexity in Socio-Technical Systems tomorrow.
September 4, 2013
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I have just published the first release of an Open Source C# library as well as a set of command line tools for the analysis of dynamic network structures, so-called temporal networks. The code particularly focuses on the modeling and analysis of temporal networks with non-Markovian contact sequences. Feel free to test it on your data. Code and binaries are freely available on github.
August 30, 2013
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I am looking forward to talk at Google Zurich about Topological and Temporal Complexity in Socio-Technical Systems.
August 26, 2013
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I proudly announce that Microsoft has dedicated a themepack to my photographic works. The themepack Scenic Europe is available online here. The themepack features a total of 13 images and covers cities and landscapes of Switzerland, Germany, England, Scotland, France, Corsica, Italy, Sardinia and Sweden. I hope you will enjoy the themepack!
August 17, 2013
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I am looking forward to this upcoming talk on the Modeling and Analysis of Complex Dynamic Networks at the University of Augsburg, Germany.July 17, 2013
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Our new paper, in which we analytically study the slow-down and speed-up of information diffusion in temporal networks, is now available online.July 16, 2013
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After my return from a marvelous trip to the Bay of Porto in Corsica, a set of new pictures covering maninly the beauty of the island's west coast is now online here.July 09, 2013
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I have three upcoming talks at this year's NetSci in Copenhagen, Denmark: The first will be in the satellite Dynamic Information and Communication Networks on Monday, June 3rd at 11:30. The second will be in the satellite Social Dynamics on Tuesday, June 4th at 10am. The third will be in the ignite session of NetSci on Friday, June 7th at 2pm. I am looking forward to meeting you in Copenhagen!May 31, 2013
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Our paper 'Betweenness preference: Quantifying correlations in the topological dynamics of temporal networks' has now been published in Physical Review LettersMay 10, 2013
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I just returned from a two week trip, in which we were trekking 140 km from north to south on the Isle of Skye. Some first impressions of the breathtaking landscapes of this jewel of northern Scotland can be found here.May 02 2013
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I am happy to announce that our paper 'Betweenness preference: Quantifying correlations in the topological dynamics of temporal networks' has now been accepted for Physical Review LettersApril 22, 2013
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The list of confirmed speakers of this forthcoming ECCS satellite workshop which I am proud to coorganize is filling up. Confirmed speakers so far are: Renaud Lambiotte, Janos Kertesz, Marc Barthélemy, Petter Holme, Monojit Choudhury, Vincent Blondel and Luis Rocha.March 31, 2013
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This forthcoming NetSci satellite workshop will explore how insights in the field of temporal/dynamic networks can be used in the context of communication and information networks.March 18, 2013
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I am happy to present our works on the use of social network analysis to automatically categorize bug reports at the Monte Verita Symposium Augmenting Software Developer Support to Improve Productivity.
March 08 2013
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Our paper 'The Rise and Fall of a Central Contributor: Centralization and Performance in the Gentoo Community' has been accepted for the Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2013).February 28, 2013
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A preprint of our paper 'Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities' is now available on the ArXiV preprint server.February 28, 2013
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In the workshop Sozioinformatik 2013 we study the complex interplay between social and technical systems. We welcome your contributions until April 22, 2013.February 22, 2013
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Our paper 'Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities' has been accepted for the Software Engineering in Practice (SEIP) track at ICSE 2013.February 10, 2013
2012
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Our paper 'A Quantitative Study of Social Organization in Open Source Software Communities' has been accepted at ICCSW 2012.September 27, 2012
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We study this question in our latest paper 'Betweenness Preference: Quantifying Correlations in the Topological Dynamics of Temporal Networks', which is now available on ArXiv.August 2, 2012