piwik-script

Intern
    Machine Learning for Complex Networks

    Prof. Dr. Ingo Scholtes

    Prof. Dr. Ingo Scholtes

    Chairholder
    Machine Learning for Complex Networks
    Am Hubland
    97074 Würzburg
    Germany
    Gebäude: Friedrich Bergius Ri
    Telefon: +49 931 31-89290

    About me

    I am 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 further SNSF Professor in the Department of Informatics at University of Zurich, where I head the  Data Analytics Group (DAG).

    Our research addresses open questions at the intersection between machine learning, network science, graph mining, and computational social science. A summary of our foundational works on higher-order network analytics was recently published in Nature Physics.

    In 2014 I was awarded a Juniorfellowship from the German Informatics Society. In 2018 I was awarded an SNSF Professorship with a volume of CHF 1.5 Mio from the Swiss National Science Foundation.

    I am founding co-chair of the Computational Social Science Section of the German Informatics Society (GI e.V.) and associate editor of EPJ Data Science.

    In my free time, I enjoy mountain hiking and canoeing. I am also a passionate landscape photographer and amateur astronomer.

    • since 08/2021: Chair of Machine Learning for Complex Networks (W3) at Julius-Maximilians-Universität Würzburg
    • 07/2019 - 08/2021: Chair of Data Analytics (W3) at Bergische Universität Wuppertal
    • since 08/2018: SNF Professor for Data Analytics at University of Zurich, Switzerland
    • 04/2016 - 08/2016: Temporary Professor (Vertretungsprofessor) for Applied Informatics at Karlsruher Institut für Technologie (KIT)
    • 09/2011 - 07/2018: Postdoc and Lecturer at Chair of Systems Design, ETH Zürich, Switzerland
    • 07/2011: Visiting Researcher at Eötvös-Lorand University Budapest, Hungary
    • 2011: Dr. rer. nat. (summa cum lauda) in Computer Science from University of Trier
    • 2004: Summer student in ATLAS Trigger and Data Acquisition Group, CERN
    • 2005: Diploma in Computer Science (Minor in Mathematics) at University of Trier

    Workshops, Symposium & Conference Organization

    Society Memberships

    PhD Committee Memberships & PhD Thesis Reviews

    • ETH Zurich, Switzerland (2021)
    • Ludwig-Maximilians-Universität München, Germany (2021)
    • Northeastern University, USA (2020)
    • IMT School for Advanced Studies, Lucca, Italy (2019)
    • University of Luxembourg (2018)

    External Reviewer for Professoral Hiring Commissions

    • HTW Saar (2021)
    • FernUniversität in Hagen (2020)
    • RWTH Aachen (2019)

    Committee & Board Memberships

    Editorial Activities

     

    Reviewer for Funding Agencies

    Reviewer for Journals

    Reviewer for Conferences and Workshops

    Monographs
    • Ingo Scholtes: Harnessing Complex Structures and Collective Dynamics in Large Networked Computing Systems, Dissertation, University of Trier, 204 pages, May 2011
    • Ingo Scholtes: A reimplementation of the CORBA-based Event Monitoring System for the ATLAS LHC Experiment at CERN, Diploma Thesis, University of Trier, 164 pages, November 2005
    Journals and Refereed Conference Proceedings
    • Jürgen Hackl, Ingo Scholtes, Luka V Petrović, Vincenzo Perri, Luca Verginer, Christoph Gote
      Analysis and visualisation of time series data on networks with pathpy
      In Proceedings of the 11th Temporal Web Analytics Workshop (TempWeb 2021) in conjunction with The Web Conference 2021, Ljubljana, Slovenia, April 2021
    • Vincenzo Perri and Ingo Scholtes
      Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis
      In Proceedings of the 11th Temporal Web Analytics Workshop (TempWeb 2021) in conjunction with The Web Conference 2021, Ljubljana, Slovenia, April 2021
    • Luka Petrović and Ingo Scholtes
      PaCo: Fast Counting of Causal Paths in Temporal Network Data
      In Proceedings of the 11th Temporal Web Analytics Workshop (TempWeb 2021) in conjunction with The Web Conference 2021, Ljubljana, Slovenia, April 2021
      [arXiv 1905.11287]
    • Christoph Gote, Ingo Scholtes and Frank Schweitzer
      Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net
      In Empirical Software Engineering, May 26, 2021
      [arXiv 1911.09484] [SpringerLink]
    • Yan Zhang, Antonios Garas and Ingo Scholtes
      Higher-order models capture changes in controllability of temporal networks
      In Journal of Physics: Complexity, Vol. 2, No. 1, January 29, 2021
      [DOI] [arXiv 1701.06331]
    • Vincenzo Perri and Ingo Scholtes
      HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs
      In Proceedings of the 28th International Symposium on Graph Drawing and Network Visualization (GD 2020), Vancouver, BC, Canada, September 15-18, 2020
      [DOI] [arXiv 1908.05976] [DBLP BibTeX]
    • Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad and Frank Schweitzer
      HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks
      In Proceedings of SIAM International Conference on Data Mining (SDM 2020), May 7-9 2020
      [DOI] [DBLP BibTeX] [arXiv 1905.10580]
    • Christoph Gote, Ingo Scholtes
      git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories
      In Proceedings of the 16th International Conference on Mining Software Repositories, MSR 2019, Montreal, QC, Canada, May 2019
      [MSR 2019 Website] [arXiv 1903.10180] [DBLP BibTeX] [Reproducibility repository]
    • Renaud Lambiotte, Martin Rosvall, Ingo Scholtes
      From Networks to Optimal Higher-Order Models of Complex Systems
      In Nature Physics, Vol. 15, p. 313-320, March 25 2019
      [nature.com] [arXiv 1806.05977]
    • Renaud Lambiotte, Martin Rosvall, Michael Schaub, Ingo Scholtes and Jian Xu
      Beyond Graph Mining: Higher-Order Data Analytics for Temporal Network Data
      Hands-On Tutorial at KDD'18 - 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, UK, August 19-23, 2018
      [Tutorial Website] [KDD 2018 Website]
    • Ingo Scholtes
      Data Science in den Sozialwissenschaften (in German)
      In Data Literacy und Data Science Education: Digitale Kompetenzen in der Hochschulausbildung, April 2018
      [Online article] [GI e.V.]
    • Ingo Scholtes
      When is a Network a Network? Multi-Order Graphical Model Selection in Pathways and Temporal Networks
      In KDD'17 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, Nova Scotia, Canada, August 13-17, 2017
      [ACM Digital Library] [DOI] [arXiv 1702.05499] [python module] [Supplementary Code][Promotional video] [News Coverage]
    • Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes, Frank Schweitzer
      From Relational Data to Graphs: Inferring Significant Links using Generalized Hypergeometric Ensembles
      In Social Informatics. SocInfo 2017, Lecture Notes in Computer Science, Vol. 10540, September 2017
      [SpringerLink] [DOI] [arXiv 1706.04370] [Poster presented at MLG2017 @ KDD17]
    • Emre Sarigöl, David Garcia, Ingo Scholtes, Frank Schweitzer
      Quantifying the effect of editor-author relations on manuscript handling times
      Scientometrics, March 2017
      [SpringerLink] [DOI] [Media Coverage]
    • Vikramjit Singh, Markus Esch, Ingo Scholtes
      Decentralized Cluster Detection in Distributed Systems based on Self-Organized Synchronization
      In Proceedings of the 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Augsburg, Germany, September 2016
      [IEEE Digital Library] [DOI]
    • Ingo Scholtes, Pavlin Mavrodiev, Frank Schweitzer
      From Aristotle to Ringelmann: a large-scale analysis of productivity and coordination in Open Source Software projects
      Empirical Software Engineering, Volume 21, Issue 2, pp 642-683, April 2016
      [SpringerLink] [DOI]  [Media Coverage 1]  [Media Coverage 2]
    • Ingo Scholtes, Nicolas Wider, Antonios Garas
      Higher-Order Aggregate Networks in the Analysis of Temporal Networks: Path structures and centralities
      The European Physical Journal B, 89:61, March 2 2016
      [SpringerLink] [DOI] [arXiv 1508.06467]
    • Ingo Scholtes
      Understanding Complex Systems: When Big Data meets Network Science
      it - Information Technology, De Gruyter, August 1 2015
      [De Gruyter] [DOI] [DBLP BibTeX]
    • Marcelo Cataldo, Ingo Scholtes, Giuseppe Valetto
      A Complex Networks Perspective on Collaborative Software Engineering
      Advances in Complex Systems, May 7 2015
      [World Scientific Online Library] [DBLP BibTeX]
    • Ingo Scholtes, Nicolas Wider, René Pfitzner, Antonios Garas, Claudio Juan Tessone and Frank Schweitzer
      Causality-driven slow-down and speed-up of diffusion in non-Markovian temporal networks
      Nature Communications, Vol. 5, Article 5024, September 24, 2014
      [Nature.com] [arXiv 1307.4030] [DOI] [Research Insight]
    • Emre Sarigöl, René Pfitzner, Ingo Scholtes, Antonios Garas and Frank Schweitzer
      Predicting Scientific Success Based on Coauthorship Networks
      EPJ Data Science, 2014:9, September 25 2014
      [EPJ.org] [arXiv 1402.7268] [DOI] [Media Coverage]
    • Marcelo Serrano Zanetti, Claudio Juan Tessone, Ingo Scholtes and Frank Schweitzer
      Automated Software Re-modularization Based on Move Refactoring
      In Proceedings of the 13th International Conference on Modularity (Modularity), Lugano, Switzerland, April 2014
      [ACM Digital Library] [DBLP BibTeX]
    • Sven Tomforde, Jörg Hähner, Hella Seebach, Wolfgang Reif, Bernhard Sick, Arno Wacker and Ingo Scholtes
      Engineering and Mastering Interwoven Systems
      In Proceedings of the 2nd International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), Lübeck, Germany, February 2014
      [IEEE Digital Library] [DBLP BibTeX]
    • René Pfitzner, Ingo Scholtes, Antonios Garas, Claudio Juan Tessone and Frank Schweitzer
      Betweenness Preference: Quantifying Correlations in the Topological Dynamics of Temporal Networks
      Physical Review Letters, Volume 110, Issue 19, Article 198701, May 10 2013
      [American Physical Society] [arXiv 1208.0588] [DOI] [Research Insight]
    • Nicolas Perony, René Pfitzner, Ingo Scholtes, Claudio Juan Tessone and Frank Schweitzer
      Enhancing Consensus Under Opinion Bias By Means Of Hierarchical Decision Making
      Advances in Complex Systems, Vol. 16, December 2013
      [World Scientific Online Library]
    • Valentin Burger, Tobias Hoßfeld, David Garcia, Michael Seufert, Ingo Scholtes and David Hock
      Resilience in Enterprise Social Networks
      In Proceedings of the GI Jahrestagung 2013, pp. 1177-1179, Koblenz, Germany, September 16-20, 2013
      [DBLP BibTeX]
    • Ingo Scholtes, René Pfitzner and Frank Schweitzer
      The Social Dimension of Information Ranking: A Discussion of Research Challenges and Approaches
      In Proceedings of the GI Jahrestagung 2013, pp. 1177-1179, Koblenz, Germany, September 16-20, 2013
      [DBLP BibTeX]
    • Ingo Scholtes and Markus Esch
      Complex Structures and Collective Dynamics in Networked Systems: A Tutorial
      In Proceedings of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), pp. 271-272, Philadelphia, PA, USA, September 9-13, 2013
      [IEEE Digital Library] [DBLP BibTeX]
    • Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone and Frank Schweitzer
      The Rise and Fall of a Central Contributor: Centralization and Performance in the Gentoo Community
      In Proceedings of the 6th International Workshop on Cooperative and Human Aspects in Software Engineering (CHASE) held at ICSE 2013, San Francisco, CA, USA, May 2013
      [IEEE Digital Library] [arXiv 1302.7191] [DBLP BibTeX]
    • Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone and Frank Schweitzer
      Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities
      In Proceedings of the 35th International Conference on Software Engineering (ICSE '13), pp. 1032-1041, San Francisco, CA, USA, May 2013
      [ACM Digital Library] [arXiv 1302.6764] [DBLP BibTeX]
    • Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone and Frank Schweitzer
      A Quantitative Study of Social Organization in Open Source Software Communities
      In Proceedings of Imperial College Computing Student Workshop (ICCSW), Open Access Series in Informatics, pp. 116-122, London, UK, September 27-28, 2012
      [Dagstuhl Research Online Publication Server] [arXiv 1208.4289] [DBLP BibTeX]
    • Joydeep Chandra, Ingo Scholtes, Niloy Ganguly and Frank Schweitzer
      A Tunable Mechanism for Identifying Trusted Nodes in Large Scale Distributed Networks
      In Proceedings of 11th IEEE International Conference on Trust, Securit and Privacy and Communications (TrustCom), pp. 722-729, Liverpool, UK, June 25-27, 2012 [Best Paper]
      [IEEE Digital Library] [arXiv 1204.5314] [DBLP BibTeX]
    • Nicolas Perony, René Pfitzner, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer
      Hierarchical Consensus Formation Reduces The Influence of Opinion Bias
      In Proceedings of the 26th European Conference on Modelling and Simulation (ECMS), Koblenz, Germany, May 29 - June 1, 2012
      [arXiv 1204.0015] [DBLP BibTeX]
    • Ingo Scholtes and Claudio Juan Tessone
      Organic Design of Massively Distributed Systems: A Complex Networks Perspective
      Informatik Spektrum, Vol. 35, No. 2, pp. 75-86, Springer, April 2012
      [SpringerLink] [arXiv 1201.3480] [DBLP BibTeX]
    • Markus Esch, Aleksandrina Kovacheva, Ingo Scholtes, Steffen Rothkugel
      TweetGames: A framework for Twitter-based Collaborative Social Online Games
      In Proceedings of the 7th International Conference on Collaborative Computing (CollaborateCom), pp. 436-442, Orlando, FL, USA, October 15 - 18, 2011
      [IEEE Digital Library] [DBLP BibTeX]
    • Jean Botev, Markus Esch,Herman Schloss, Ingo Scholtes and Peter Sturm
      HyperVerse: simulation and testbed reconciled
      International Journal of Advanced Media and Communication, pp. 167-181, Vol. 4, No. 2, 2010
      [Inderscience Library] [DBLP BibTeX]
    • Jean Botev and Ingo Scholtes
      A self-organized resource allocation scheme for decentralized distributed virtual environments
      In Proceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), pp. 1-7, Chicago, IL, USA, October 9 - 12, 2010
      [IEEE Digital Library] [DBLP BibTeX]
    • Ingo Scholtes
      Distributed Creation and Adaptation of Random Scale-Free Overlay Networks
      In Proceedings of the 4th IEEE Conference on Self-Organizing and Self-Adaptive Systems (SASO), pp. 51-63, Budapest, Hungary, September 27 - October 1, 2010
      [IEEE Digital Library] [arXiv 1005.5628] [DBLP BibTeX]
    • Ingo Scholtes, Jean Botev, Markus Esch, Peter Sturm
      Epidemic Self-Synchronization in Complex Networks of Kuramoto Oscillators
      Advances in Complex Systems, Vol. 13, No. 1, pp. 33-58, World Scientific, June 2010
      [World Scientific Online Library] [DBLP BibTeX]
    • Markus Esch and Ingo Scholtes
      Resilience and Multicast Aspects of the Structured Network Overlay GP3
      In Proceedings of the 4th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp. 1117-1122, Krakow, Poland, February 15 - 18, 2010
      [IEEE Digital Library] [DBLP BibTeX]
    • Markus Esch, Wei Tsang Ooi, Ingo Scholtes
      Evaluation of the HyperVerse Avatar Management Scheme Based on the Analysis of Second Life Traces
      In Proceedings of the 15th International Conference on Parallel and Distributed Systems (ICPADS), Shenzhen, Guangdong, China, pp. 692-699, December 8 - 11, 2009
      [IEEE Digital Library] [DBLP BibTeX]
    • Markus Esch and Ingo Scholtes
      A scale-free and self-organized P2P overlay for massive multiuser virtual environments
      In Proceedings of the 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), pp. 1-10, Washington DC, USA, November 11 - 14, 2009
      [European Union Digital Library] [DBLP BibTeX]
    • Markus Esch, Jean Botev, Hermann Schloss and Ingo Scholtes
      Performance Evaluation of GP3 - A Grid-Based Spatial Index Infrastructure
      In Proceedings of the 6th International Conference on Information Technology: New Generations (ITNG), Las Vegas, Nevada, pp. 663-670, April 27 - 29, 2009
      [IEEE Digital Library] [DBLP BibTeX]
    • Markus Esch, Jean Botev, Hermann Schloss, Ingo Scholtes
      P2P-Based Avatar Interaction in Massive Multiuser Virtual Environments
      In Proceedings of the 3rd International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp. 977-982, Fukuoka, Japan, March 16-19, 2009
      [IEEE Digital Library] [DBLP BibTeX]
    • Alexander Hohfeld, Patrick Gratz, Angelo Beck, Jean Botev, Hermann Schloss, Ingo Scholtes
      Self-organizing collaborative filtering in global-scale massive multi-user virtual environments
      In Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), Honolulu, Hawaii, USA, pp. 1719-1723, March 9 - 12, 2009
      [ACM Digital Library] [DBLP BibTeX]
    • Ingo Scholtes, Jean Botev, Markus Esch, Peter Sturm
      Epidemic Self-Synchronization in Complex Networks
      In Proceedings of the First International Conference on Complex Sciences (Complex), pp. 1794-1809, Shanghai, China, February 23 - 25, 2009
      [SpringerLink] [DBLP BibTeX]
    • Hermann Schloss, Jean Botev, Alexander Hohfeld, Ingo Scholtes; Rainer Oechsle and Markus Esch
      HiOPS overlay - efficient provision of multicast in peer-to-peer systems
      In Proceedings of the 16th International Conference on Networks (ICON), New Delhi, India, pp. 1 - 6, December 12 - 14, 2008
      [IEEE Digital Library] [DBLP BibTeX]
    • Markus Esch, Jean Botev, Hermann Schloss and Ingo Scholtes
      GP3 - A Distributed Grid-Based Spatial Index Infrastructure for Massive Multiuser Virtual Environments
      In Proceedings of the 14th International Conference on Parallel and Distributed Systems (ICPADS), Melbourne, Victoria, Australia, pp. 811-816, December 8 - 10, 2008, 
      [IEEE Digital Library] [DBLP BibTeX]
    • Ingo Scholtes, Jean Botev, Markus Esch, Hermann Schloss and Peter Sturm
      Using Epidemic Hoarding to Minimize Load Delays in P2P Distributed Virtual Environments
      In Proceedings of the 4th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), pp. 578-593, Orlando, FL, USA, November 13 - 16, 2008
      [SpringerLink] [DBLP BibTeX]
    • Ingo Scholtes, Jean Botev, Markus Esch, Alexander Hohfeld, Hermann Schloss
      Awareness-Driven Phase Transitions in Very Large Scale Distributed Systems
      In Proceedings of the 2nd IEEE Conference on Self-Organizing and Self-Adaptive Systems (SASO), pp. 25-34, Venice, Italy, October 20 - 24, 2008
      [IEEE Digital Library] [DBLP BibTeX]
    • Markus Esch, Patrick Gratz, Steffen Rothkugel, Jörg Jakoby, Ingo Scholtes and Peter Sturm
      CrePes - Warum und wie Schüler ab 8 Jahren Programmieren lernen sollten [In German]
      In Proceedings of 6th e-Learning Fachtagung Informatik der Gesellschaft für Informatik e.V., pp. 413-424, September 7 - 10, 2008, Lübeck, Germany
      [GI Lecture Notes] [DBLP BibTeX]
    • Ingo Scholtes, Serguei Kolos and Pasquale Federico Zema
      The ATLAS Event Monitoring Service-Peer-to-Peer Data Distribution in High-Energy Physics
      IEEE Transactions on Nuclear Science, Vol. 55, No. 3, pp. 1610-1620, June 2008
      [IEEE Digital Library] [Research Insight]
    • Ingo Scholtes, Jean Botev, Markus Esch, Alexander Hohfeld, Hermann Schloss and Benjamin Zech
      TopGen - internet router-level topology generation based on technology constraints
      In Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems (SimuTools), pp. 30-38, Marseille, France, March 3 - 7, 2008
      [ACM Digital Library] [DBLP BibTeX]
    • Markus Esch, Jean Botev, Hermann Schloss, Alexander Hohfeld, Ingo Scholtes and Benjamin Zech
      SimCon - a simulation and visualization environment for overlay networks and large-scale applications
      In Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems (SimuTools), pp. 68-76, Marseille, France, March 3 - 7, 2008
      [ACM Digital Library] [DBLP BibTeX]
    • Jean Botev, Markus Esch, Alexander Hohfeld, Herman Schloss, Ingo Scholtes and Peter Sturm
      The HyperVerse: concepts for a federated and Torrent-based '3D Web'
      International Journal of Advanced Media and Communication, pp. 331-350, Vol. 2, No. 4, 2008
      [Inderscience Library] [DBLP BibTeX]
    • Markus Esch, Hermann Schloss and Ingo Scholtes
      The SEMPA prototype - using XAML and web services for rich interactive Peer-to-Peer applications
      In Proceedings of the 3rd International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), pp. 271-277, White Plains, New York, USA, November 12 - 15, 2007
      [ACM Digital Library] [DBLP BibTeX]
    • Ingo Scholtes, Serguei Kolos, Pasquale Federico Zema
      The ATLAS Event Monitoring Service - Peer-to-Peer Data Distribution in High-Energy Physics
      In Proceedings of the IEEE Nuclear Science Symposium (NSS/MIC), San Diego, CA, USA, October 29 - November 4, 2006
      [IEEE Digital Library]
    • Ingo Scholtes, Daniel Görgen, Patrick Gratz
      Web Service Interface Syndication and its Application to a Collaborative Weblog Search
      In Proceedings of the 2nd International Conference on Collaborative Computing, Networking, Applications and Worksharing (CollaborateCom), Atlanta GA, USA, November 17-20, 2006
      [IEEE Digital Library]
    • Ingo Scholtes and Peter Sturm
      Web Federates - Towards a Middleware for Highly Scalable Peer-to-Peer Services
      In Proceedings of the Second International Conference on Web Information Systems and Technologies (WEBIST), Setubal, Portugal, April 11 - 13, 2006
      [DBLP BibTeX]
    • Doris Burckhart-Chromek et al.
      Testing on a Large Scale: running the ATLAS Data Acquisition and High Level Trigger Software on 700 PC Nodes
      In Proceedings of the 15th International Conference on Computing In High Energy and Nuclear Physics (CHEP), Mumbai, India, pp.60-65, February 13 - 17, 2006
      [CERN Document Server]

    2021
    • Optimal Models of Causal Topologies in Temporal Networks
      Keynote at 4th International Workshop on Self-Organised Construction (SOCO), Washington, D.C., USA, October 1, 2021
    • Higher-Order Network Science: From Theoretical Foundations to Machine Learning
      Opening Talk at Dagstuhl Seminar 21352, Dagstuhl, Germany, August 29, 2021
    • Combining Collective and Artificial Intelligence in Human-AI Cyber-Organizations (online talk)
      Talk for VolkswagenStiftung, Wolfsburg, Germany, July 29, 2021
    • Higher-Order Network Science: From Theoretical Foundations to Machine Learning (online talk)
      Keynote at HONS 2021, Washington D.C., USA, July 2, 2021
    • Next Generation Network Analytics for Time Series Data (online talk)
      Talk at Julius-Maximilians-Universität Würzburg, Germany, January 14, 2021
    2020

    2019

    • Networks in Space and Time
      Talk at IMACM Colloquium, University of Wuppertal, Germany, October 22, 2019
    • Networks in Space and Time
      Inaugural Lecture, University of Zurich, September 16, 2019
    • Higher-Order Network Analytics for Time-Stamped Data on Social Interactions
      Tutorial at EuroCSS 2019, ETH Zürich, September 2, 2019
    • What makes teams successful? A Data Science Perspective
      Invited Talk at advAIsor AG, Zurich, July 12, 2019
    • pathpy: From Past to Future
      Opening Talk at the first pathpy user meeting, ETH Zurich, June 17, 2019
    • Data, Networks, Social Science
      Opening Talk at Symposium Computational Social Science - Quo Vadis?, University of Zurich, April 26, 2019
    • Demystifying Machine Learning
      Invited Talk at Klinik für Neurochirurgie, University Hospital of Zürich, April 25, 2019
    • Data Analytics in Social Organizations
      Invited Talk at Behavioral Studies Colloquium, ETH Zurich, April 16, 2019
    • Data Analytics in Social Organizations: Lessons from Software Engineering and Scientometrics
      Invited Talk at Brownbag Lunch of Digital Society Initiative, University of Zurich, March 21, 2019
    • Next Generation Network Analytics for Time Series Data
      Talk at Department of Computer Science, University of Zurich, March 8, 2019
    • Optimal Network Models for Time Series Data
      Invited Talk at CRiSM Seminar Series, Department of Statistics, University of Warwick, UK, February 14, 2019
    • Learning [with] Graphs
      Internal Research Pitch, University of Zurich, February 11, 2019

    2018

    • What makes teams successful? A Data Science Perspective
      Talk at UZH Executive MBA Information Event, Zürich, November 6, 2018
    • Beyond Graph Mining: Higher-Order Data Analytics for Temporal Network Data
      Invited Talk at IBM Research, Rueschlikon, Switzerland, October 11, 2018
    • Understanding Complex Systems: From Networks to Optimal Higher-Order Models
      Talk at Complexity Science Hub Vienna, Austria, September 5, 2018
    • Beyond Graph Mining: Higher-Order Data Analytics for Temporal Network Data
      Hands-on Tutorial at 2018 ACM SIGKDD Conference on Kowledge Discovery and Data Mining, London, UK, August 19, 2018
    • Learning Optimal Models of Causal Topologies in Temporal Network Data
      Talk at Max-Planck-Institute for Ornithology, University of Konstanz, Germany, July 10, 2018
    • Next Generation Network Analytics for Time Series Data
      Talk at University of Stuttgart, Germany, July 5, 2018
    • Entropy-based detection of inherent time scales in temporal networks
      Talk at NetSci 2018, Paris, France, June 15, 2018
    • Learning optimal models of causal topologies in temporal data streams
      Talk at Symposium on Machine Learning in Network Science, Paris, France, June 12, 2018
    • When networks are not enough: Inference of optimal higher-order models of complex systems
      Talk at Symposium on Statistical Inference for Network Models, Paris, France, June 11, 2018
    • Next-Generation Network Analytics for Time Series Data
      Talk at Faculty of Mathematics and Natural Sciences, Bergische Universität Wuppertal, Germany, June 4, 2018
    • Data Analytics in Social Organizations: Lessons from Software Engineering and Scientometrics
      Invited Talk at Computation and Society Workshop, EPFL Lausanne, Switzerland, May 22, 2018
    • Next-Generation Network Analytics for Time Series Data
      Talk at Department of Informatics, University of Fribourg, Fribourg, Switzerland, April 24, 2018
    • Learning Optimal Models of Causal Topologies in Temporal Data Streams
      Invited Talk at Symposium on Networks, Time and Causality, ETH Zurich, Zurich, Switzerland, April 13, 2018
    • Next-Generation Network Analytics for Time Series Data
      Talk at Faculty of Mathematics and Computer Science, Philipps-Universität Marburg, Marburg, Germany, April 12, 2018
    • Understanding Social Systems: From Sociophysics to Computational Social Science
      Talk at Spring meeting of the German Physical Society, Berlin, Germany, March 15, 2018
    • When is a network a network? Multi-order graphical model selection in time series data on networks
      Talk at Spring meeting of the German Physical Society, Berlin, Germany, March 14, 2018
    • Data Science in den Sozialwissenschaften
      Talk at Workshop of GI Data Science Task Force, Berlin, Germany, January 30, 2018
    • Modelling Social Networks
      Invited Talk at Workshop on Ethics in Complex Systems, Potsdam, Germany, January 29, 2018
    • Next Generation Network Analytics for Time Series Data
      SNSF Interview Talk, Bern, Switzerland, January 11, 2018