Prof. Dr. Ingo Scholtes

Head of Chair

Machine Learning for Complex Networks

Emil-Fischer-Strasse 50

D-97074 Würzburg

Germany

Gebäude: 50

Raum: 03.030

Telefon: +49 931 31-89290

E-Mail: ingo.scholtes@uni-wuerzburg.de

About me

I am heading the CAIDAS-Chair of Computer Science - Machine Learning for Complex Networks at the Center for Artificial Intelligence and Data Science of Julius-Maximilians-Universität Würzburg. Our research addresses open questions at the intersection between network science, (deep) graph learning, and computational social science. I have experience in the application of network science and machine learning to address questions in information systems, software engineering, ecology, biology, and physics. A summary of our foundational works on higher-order graph models was 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 and Advances in Complex Systems.

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

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
08/2018 - 07/2024: 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

Co-Organizer of CAIDAS Workshop Data Analysis for the Digital Humanities, February 6 - 8 2023, Würzburg, Germany
Organizer of LoG Local Meetup Würzburg, December 21 2022, Würzburg, Germany
Co-Organizer of Dagstuhl seminar Higher-Order Graph Models: From Theoretical Foundations to Machine Learning, August 29 - September 1st 2021, Dagstuhl, Germany
Co-Chair of Workshop on Higher-Order Models in Network Science, July 2020, Rome, Italy
Chair of Symposium Computational Social Science - Quo Vadis?, April 26, 2019, Zurich, Switzerland
Program Co-Chair of Data Science Track at Informatik 2019, September 23-26, 2019, Kassel, Germany
Co-Chair of Workshop on Higher-Order Models in Network Science, May 28, 2019, Burlington, Vermont, USA
Co-Chair of Workshop on Higher-Order Models in Network Science, June 11-12, 2018, Paris, France
Co-Chair of Workshop on Self-Adaptive and Self-Organising Socio-Technical Systems (SASOST 2017), September 22, 2017, Tucson, AZ, USA
Co-Chair of Workshop on Higher-Order Models in Network Science, June 20, 2017, Indianapolis, IN, USA
Co-Chair of Workshop Informatik Begeisterung held at Informatik 2016, September 26, 2016, Klagenfurt, Austria
Doctoral Symposium Co-Chair of 10th IEEE International Conference on Self-Adaptation and Self-Organizing Systems (SASO 2016), September 15, 2016, Augsburg, Germany
Co-Chair of Workshop on Higher-Order Models in Network Science, May 30, 2016, Seoul, Korea
Co-Chair of Workshop on Higher-Order Models in Network Science, June 2, 2015, Zaragoza, Spain
Co-Chair of Workshop on Self-Optimisation in organic and autonomic computing systems (SAOS'15), March 24-27, 2015, Porto, Portugal
Co-Chair of Workshop on Social Influence held at 6th International Conference on Social Informatics (SocInfo 2014), November 10, 2014, Barcelona, Spain
Co-Chair of Workshop on Dynamics on and of Complex Networks VII held at European Conference on Complex Systems (ECCS 2014), September, 2014, Lucca, Italy
Co-Chair of Workshop on Higher-Order Models in Network Science, June 3, 2014, Berkeley, CA, USA
Co-Chair of Workshop on Self-optimisation in organic and autonomic computing systems (SAOS'14), February 25 - 28, 2014, Lübeck, Germany
Co-Chair of Workshop on Dynamics on and of Complex Networks VI held at European Conference on Complex Systems (ECCS 2013), September, 2013, Barcelona, Spain
Co-Chair of Workshop on Sozioinformatik held at GI-Jahrestagung Informatik 2013, September 14, 2013, Koblenz, Germany
Co-Chair of Workshop on Self-Adaptation and Self-Organization in Socio-Technical Systems (SASO^ST 2013) held at IEEE SASO 2013, September 9, 2013, Philadelphia, PA, USA
Workshop Co-Chair of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2013), September 9-13, 2013, Philadelphia, PA, USA
Sponsoring Co-Chair of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2013), September 9-13, 2013, Philadelphia, PA, USA
Co-Chair of Workshop on Self-optimisation in organic and autonomic computing systems (SAOS'13), February 20, 2013, Prague, Czech Republic
Program Co-Chair of 6th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2012), September 10-14, 2012, Lyon, France
Co-Chair of Workshop on Complex Sciences in the Engineering of Computer Systems (CSECS 2012), February 28, 2012, Munich, Germany
Co-Chair of Workshop on SocioAware Networked Computing Systems (SocioAware 2011), October 3, 2011, Ann Arbor, MI, USA

Society Memberships

Member of the Schweizer Informatik Gesellschaft (SI) (since 2018)
Member of the Deutsche Physikalische Gesellschaft (DPG) (since 2018)
Member of the Konrad Zuse Gesellschaft (since 2013)
Member of the Gesellschaft für Informatik (GI) (since 2001)

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

Vice-Director of the Interdisciplinary Center for Machine Learning and Data Analytics (IZMD) (since 2020)
Elected Member of the Presiding Committee of the Gesellschaft für Informatik (GI) (2017 - 2020)
Ambassador of the Gesellschaft für Informatik (GI) at University of Zurich (since 2018)
Member of the Data Science Task Force of the Gesellschaft für Informatik (GI) (since 2017)
Founding Chair of the Computational Social Science Working Group at the Gesellschaft für Informatik (GI) (since 2016)
Member of the Scientific Advisory Board of swiss innovation valley ag (2016 - 2019)
Elected member of the Steering Committee of the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (IEEE SASO) (2014 - 2018)
Chair of the Juniorfellows at Gesellschaft für Informatik (GI e.V.) (2015-2016)
Management Committee Member of EU COST Action TD1210 KNOWeSCAPE: Analyzing the dynamics of information and knowledge landscapes (2014 - 2016)
Member of the Steering Committee (Leitungsgremium) of the GI section (Fachgruppe) Organic Computing (2013 - 2016)

Editorial Activities

Editor of EPJ Data Science (since 2018)
Guest editor of Social Network Analysis and Mining
Guest editor of Topical Issue in Advances in Complex Systems: Structure and Dynamics of Collaborative Software Engineering: A Complex Networks Perspective
Co-editor of book Social Informatics - The Social Impact of Interactions between Humans and IT, Springer Proceedings in Complexity

Reviewer for Funding Agencies

Evaluator for the Royal Society of New Zealand (Te Aparangi)
Evaluator for the National Research, Development and Innovation Fund, Hungary
Evaluator for the Research Council of the Universitë catholique de Louvain, Belgium
Evaluator for the Polish National Science Centre, Poland
Evaluator for the Israel Science Foundation (ISF), Israel

Reviewer for Journals

Reviewer for Conferences and Workshops

The 20th Workshop on Machine Learning in Graphs (MLG) at ECML-PKDD, September 22 2023, Torino, Italy
The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA
The 32nd ACM Web Conference 2023 (WWW 2023), Austin, TX, USA
Learning on Graphs Conference (LOG 2022), Virtual Event
30th International Symposium on Graph Drawing and Network Visualization (GD 2022), Tokyo, Japan
28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2022), Washington, D.C., USA
The 31st ACM Web Conference 2022 (WWW 2022), Lyon, France
38th International Conference on Machine Learning (ICML 2021), Virtual Conference
34th Annual Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada
International School and Conference on Network Science (NetSci 2019), Burlington, Vermont, USA
The 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA'18), Turin, Italy
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018)
7th International Workshop on Complex Networks and their Applications (Complex Networks 2018), Cambridge, UK
Doctoral Symposium of the 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2018), Trento, Italy
International School and Conference on Network Science (NetSci 2018), Paris, France
ACM Collective Intelligence 2018, Zurich, Switzerland
COMPLENET 2018, Boston, MA, USA
European Symposium Series on Societal Challenges in Computational Social Science, London, UK
5th International Workshop on Self-Adaptive and Self-Organising Socio-Technical Systems (SASOST 2017), Tucson, AZ, USA
9th IEEE Workshop on Network Science for Communication Networks (NetSciCom 2017), Atlanta, GA, USA
International AAAI Conference on Web and Social Media (ICWSM-17), Montréal, Canada
5th International Workshop on Complex Networks and their Applications (Complex Networks 2016), Milano, Italy
International AAAI Conference on Web and Social Media (ICWSM-16), Cologne, Germany
25th International World Wide Web Conference (WWW 2016), Montréal, Canada
8th IEEE Workshop on Network Science for Communication Networks (NetSciCom 2016), San Francisco, CA, USA
International School and Conference on Network Science (NetSci-X 2016), Wroclaw, Poland
4th International Workshop on Complex Networks and their Applications (Complex Networks 2015), Bangkok, Thailand
24th International World Wide Web Conference (WWW 2015), Florence, Italy
3rd International Workshop on Self-Adaptive and Self-Organising Socio-Technical Systems (SASOST 2015), Boston, MA, USA
9th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (IEEE SASO 2015), Boston, MA, USA
Workshop on Self-Improving System Integration (SISSY 2015), Grenoble, France
1st International Workshop on Citizen-Oriented Autonomic Computing and Technologies for SmartCities (COACTS 2015), Grenoble, France
3rd International Workshop on Self-Optimisation in organic and autonomic computing systems (SAOS'15), Porto, Portugal
2nd International Workshop on Self-Optimisation in organic and autonomic computing systems (SAOS'14), Lübeck, Germany
8th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (IEEE SASO 2014), London, UK
Workshop on Social-aware Economic Traffic Management for Overlay and Cloud Applications 2013 (SETM 2013), October 14, 2013, Zurich, Switzerland
1st International Workshop on Self-Optimisation in organic and autonomic computing systems (SAOS'13), Prague, Czech Republic
2nd International Workshop on SocioAware Networked Computing Systems (SocioAware 2013), Philadelphia, PA, USA
2nd International Conference on Complex Sciences: Theory and Applications (Complex 2012), Santa Fe, NM, USA
6th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (IEEE SASO 2012), Lyon, France
International Workshop on Complex Sciences in the Engineering of Computer Systems (CSECS 2012), Munich, Germany
1st International Workshop on SocioAware Networked Computing Systems (SocioAware 2011), Ann Arbor, MI, USA
5th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (IEEE SASO 2011), Ann Arbor, MI, USA
4th International Workshop on Massively Multiuser Virtual Environments (MMVE'11), Qinhuangdao, Hebei, China
3rd International Workshop on Massively Multiuser Virtual Environments (MMVE'10), Taipei, Taiwan
1st International Conference on Complex Sciences: Theory and Applications (COMPLEX'09), Shanghai, China
2nd International Workshop on Massively Multiuser Virtual Environments (MMVE'09), Lafayette, LA, USA

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

Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes
Predicting Variable-Length Paths in Networked Systems using Multi-Order Generative Models
to appear in Applied Network Science, 2023
Vincenzo Perri, Luka Petrovic, Ingo Scholtes
Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior
to appear in EPJ Data Science, 2023
Christoph Gote, Vincenzo Perri, Christian Zingg, Giona Casiraghi, Carsten Arzig, Alexander von Gernler, Frank Schweitzer, Ingo Scholtes
Locating Community Smells in Software Development Processes using Higher-Order Network Centralities
to appear in Social Network Analysis and Mining, 2023
Unai Alvarez-Rodriguez, Luka Petrovic, Ingo Scholtes
Inference of time-ordered multibody interactions
to appear in Physical Review E, 2023
Leonore Röseler, Ingo Scholtes, Christoph Gote
A Network Perspective on the Influence of Code Review Bots on the Structure of Developer Collaborations
Registered Report, ICSE CHASE, May 2023
F Schweitzer, G Andres, G Casiraghi, C Gote, R Roller, I Scholtes, G Vaccario, C Zingg
Modeling Social Resilience: Questions, Answers, Open Problems
Advances in Complex Systems, December 2022
Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
In Proceedings of the First Learning on Graphs Conference, PMLR 198:51:1-51:21, December 2022
Christopher Blöcker, Jelena Smiljanić, Ingo Scholtes, Martin Rosvall
Similarity-based Link Prediction from Modular Compression of Network Flows
In Proceedings of the First Learning on Graphs Conference, PMLR 198:51:1-52:18, December 2022
Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe, Andreas Hotho, Ingo Scholtes
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium
In Proceedings of the Third Conference On Computational Humanities Research (CHR2022), December 2022
Christoph Gote, Vincenzo Perri, Ingo Scholtes
Predicting Influential Higher-Order Patterns in Temporal Network Data
In Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2022), Istanbul, Turkey, November 10-13, 2022, [Best Paper Award]
Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad
Sequential Motifs in Observed Walks
In Journal of Complex Networks, Vol. 10, Issue 5, October, 2022
Leonore Röseler, Ingo Scholtes, Bernhard Sendhoff, Aniko Hannak
Willing to revise? Confidence and Recommendation Adoption in AI-Assisted Image Recognition
In Proceedings of The first International Conference on Hybrid Human-Artificial Intelligence (HHAI2022), Amsterdam, Netherlands, June 2022
Luka V Petrović and Ingo Scholtes
Learning the Markov order of paths in graphs
In Proceedings of WWW '22: The Web Conference 2022, Lyon, France, April 2022
Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer, Ingo Scholtes
Big Data = Big Insights? Operationalizing Brooks’ Law in a Massive GitHub Data Set
To appear in Proceedings of the 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, PA, USA, May 2022
Tina Eliassi-Rad, Vito Latora, Martin Rosvall, Ingo Scholtes
Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352)
Dagstuhl Reports, Vol. 11, No. 7, pp. 139 -- 178, December 2021
[DOI] [Dagstuhl Research Online Publication Server]
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]

2023

De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs Invited Keynote at Temporal Graph Workshop, NeurIPS 2023, New Orleans, LA, USA, December 16, 2023
Higher-Order Models of Causal Topologies in Temporal Networks - From Modelling to Deep Learning Talk at Research Seminar of Department of Informatics (IfI), University of Zurich, September 27, 2023
Higher-Order Models of Causal Topologies in Temporal Networks - From Modelling to Deep Learning Invited Keynote at Dutch NetSci Summer Symposium, TU Delft, The Netherlands, August 30, 2023
How to get your paper rejected: An editor's perspective Invited Keynote at NetPLACE Panels at NetSci 2023, Vienna, Austria, July 10, 2023
Mapping Complex Networks Invited PhD Opponent Talk at Umeå University, Sweden, May 12, 2023
De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs Invited Talk at Temporal Graph Reading Group, McGill University, Montréal, Canada, May 4, 2023
Networks in Space and Time - Exploring the Physics in Graph Learning Invited Talk at 86th Spring Meeting of the Condensed Matter Section of the German Physical Society (DPG), Dresden, Germany, March 30, 2023
De Bruijn Goes Neural: Towards Causality-Aware Graph Neural Networks for Time Series Data Invited Talk at University of Mannheim, Germany, March 28, 2023

2022

Networks in Space and Time - Exploring the Physics in Graph Learning Invited Lecture at Akademische Feier der Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, December 12, 2022
From Networks to Optimal Higher-Order Models of Complex Systems Invited Keynote at ICDM 2022 Workshop on Machine Learning on Higher-Order Structured Data, Orlando, USA, November 28, 2022
Using Big Data and Network Science to Understand Productivity in Software Teams Talk at Campus Oerlikon, Zurich, Switzerland, November 24, 2022
De Bruijn Goes Neural: Towards Causality-Aware Graph Neural Networks for Time Series Data Invited Talk at ETH Symposium, Zurich, Switzerland, November 24, 2022
[Photo]graphing Middle-Earth: A Visual Exploration of Tolkien's Legendarium Invited Talk at Meeting of Tolkiengesellschaft, Zurich, Switzerland, November 22, 2022
From Aristotle to Ringelmann: Using Big Data and Network Science to Understand Productivity in Software Teams Invited Talk at Inetum User Conference, Zurich, Switzerland, November 1, 2022
Data Science und Sozialwissenschaften: Eine Geschichte voller Missverständnisse Invited Talk at University of Mannheim, Germany, October 13, 2022
Introduction to Network Science Lecture at Ghent Summer of DANS 2022, Ghent, Belgium, September 20, 2022
Temporal Networks and Higher-Order Models of Causal Topologies Invited Talk at NetDat international seminar and workshop, Dresden, Germany, September 12/13, 2022
From Networks to Optimal Higher-Order Models of Complex Systems Invited Talk at CCTB Seminar, Centre for Computational and Theoretical Biology, University of Würzburg, Germany, July 27, 2022
From Networks to Optimal Higher-Order Models of Complex Systems Lecture at Summer School on Mathematics of Complex Social Systems, Berlin Mathematics Research Center Math+, Germany, June 13, 2022
From networks to optimal models of complex systems Invited Talk at National Center for Scientific Research "Demokritos", Athens, Greece, February 23, 2022
Introduction to Supervised and Unsupervised Learning
Invited Talk at Second Zurich Machine Intelligence in Clinical Neuroscience Symposium, Zürich, Switzerland, January 20, 2022
What makes teams successful? Insights from Repository Mining, Network Science, and Empirical Software Engineering
Invited Talk at AI Talks @ JMU Series, Julius-Maximilians-Universität Würzburg, Germany, January 14, 2022

2021

What makes teams successful? Insights from Repository Mining, Network Science, and Empirical Software Engineering
Invited Keynote at Institute for AI in Management, Ludwig-Maximilians-Universität München, München, November 18, 2021
From networks to optimal models of complex systems
Invited Talk at Computational Social Science Seminar, ETH Zürich, Switzerland, November 16, 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

Next Generation Network Analytics for Time Series Data (online talk)
Talk at University of Mannheim, Mannheim, Germany, November 9, 2020
Data Science in den Sozialwissenschaften: Eine Geschichte voller Missverständnisse (online talk)
Keynote at biannual Conference of the Gesellschaft für Fachdidaktik (GFD), Regensburg, Germany (online), September 23, 2020
Next Generation Network Analytics for Time Series Data (online talk)
Talk at University of Tübingen, Tübingen, Germany, September 15, 2020
Introduction to Network Science (canceled due to CoViD-19)
Lecture at Ghent Summer School, DANS 2020, Ghent, Belgium, September 15, 2020
Next Generation Network Analytics for Time Series Data
Talk at University of Koblenz-Landau, Koblenz, Germany, September 11, 2020
Temporal Networks and Higher-Order Models (online lecture)
Lecture at 5th International Summer School on Data Science (SSDS 2020), Split, Croatia (online), September 8, 2020
Networks in Space and Time
Interdisciplinary Symposium on Resilience and Performance of Networked Systems, ETH Zurich, January 16, 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

Hubland Nord, Gebäude 50

Prof. Dr. Ingo Scholtes