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Ingo Scholtes
Person information
- affiliation: Julius-Maximilians-Universität Würzburg, Germany
- affiliation (former): ETH Zürich, Switzerland
- affiliation (PhD 2011): University of Trier, Germany
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2020 – today
- 2024
- [e2]Rüdiger Reischuk, Sven Apel, Abraham Bernstein, Maike Buchin, Anna Förster, Felix C. Freiling, Jan Mendling, Gustaf Neumann, Kay Uwe Römer, Björn Scheuermann, Ingo Scholtes, Nicole Schweikardt, Klaus Wehrle:
Ausgezeichnete Informatikdissertationen 2023. LNI D-24, GI 2024 [contents] - [i44]Christopher Blöcker, Ingo Scholtes:
Flow Divergence: Comparing Maps of Flows with Relative Entropy. CoRR abs/2401.09052 (2024) - [i43]Moritz Lampert, Christopher Blöcker, Ingo Scholtes:
From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning. CoRR abs/2406.04897 (2024) - [i42]Jan von Pichowski, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes:
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs. CoRR abs/2406.16552 (2024) - [i41]Lisi Qarkaxhija, Anatol E. Wegner, Ingo Scholtes:
Link Prediction with Untrained Message Passing Layers. CoRR abs/2406.16687 (2024) - [i40]Anton-David Almasan, Sergey Shvydun, Ingo Scholtes, Piet Van Mieghem:
Generating Temporal Contact Graphs Using Random Walkers. CoRR abs/2409.08690 (2024) - [i39]Jan von Pichowski, Christopher Blöcker, Ingo Scholtes:
Hierarchical Graph Pooling Based on Minimum Description Length. CoRR abs/2409.10263 (2024) - 2023
- [j18]Christoph Gote
, Giona Casiraghi
Predicting variable-length paths in networked systems using multi-order generative models. Appl. Netw. Sci. 8(1): 68 (2023) - [j17]Vincenzo Perri
Bayesian inference of transition matrices from incomplete graph data with a topological prior. EPJ Data Sci. 12(1): 48 (2023) - [j16]Christoph Gote, Vincenzo Perri, Christian Zingg
Locating community smells in software development processes using higher-order network centralities. Soc. Netw. Anal. Min. 13(1): 129 (2023) - [i38]Frank Schweitzer, Georges Andres, Giona Casiraghi, Christoph Gote, Ramona Roller, Ingo Scholtes, Giacomo Vaccario, Christian Zingg:
Modeling social resilience: Questions, answers, open problems. CoRR abs/2301.00183 (2023) - [i37]Luka V. Petrovic, Anatol E. Wegner, Ingo Scholtes:
Higher-Order Patterns Reveal Causal Timescales of Complex Systems. CoRR abs/2301.11623 (2023) - [i36]Leonore Röseler, Ingo Scholtes, Christoph Gote:
A Network Perspective on the Influence of Code Review Bots on the Structure of Developer Collaborations. CoRR abs/2304.14787 (2023) - [i35]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. CoRR abs/2309.07467 (2023) - [i34]Christopher Blöcker, Chester Tan, Ingo Scholtes:
The Map Equation Goes Neural. CoRR abs/2310.01144 (2023) - [i33]Franziska Heeg, Ingo Scholtes:
Using Causality-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs. CoRR abs/2310.15865 (2023) - [i32]Moritz Lampert, Ingo Scholtes:
The Self-Loop Paradox: Investigating the Impact of Self-Loops on Graph Neural Networks. CoRR abs/2312.01721 (2023) - 2022
- [j15]Frank Schweitzer
Modeling Social Resilience: Questions, Answers, Open Problems. Adv. Complex Syst. 25(8): 2250014:1-2250014:50 (2022) - [j14]Timothy LaRock
Sequential motifs in observed walks. J. Complex Networks 10(5) (2022) - [c56]Christoph Gote, Vincenzo Perri, Ingo Scholtes:
Predicting Influential Higher-Order Patterns in Temporal Network Data. ASONAM 2022: 109-116 - [c55]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. CHR 2022: 291-317 - [c54]Leonore Röseler, Ingo Scholtes, Bernhard Sendhoff, Anikó Hannák:
Willing to Revise? Confidence and Recommendation Adoption in AI-Assisted Image Recognition. HHAI 2022: 295-297 - [c53]Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer, Ingo Scholtes:
Big Data = Big Insights? Operationalising Brooks' Law in a Massive GitHub Data Set. ICSE 2022: 262-273 - [c52]Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes:
De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs. LoG 2022: 51 - [c51]Christopher Blöcker
Similarity-Based Link Prediction From Modular Compression of Network Flows. LoG 2022: 52 - [c50]Luka V. Petrovic, Ingo Scholtes
Learning the Markov Order of Paths in Graphs. WWW 2022: 1559-1569 - [i31]Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer, Ingo Scholtes:
Big Data = Big Insights? Operationalising Brooks' Law in a Massive GitHub Data Set. CoRR abs/2201.04588 (2022) - [i30]Christopher Blöcker, Jelena Smiljanic, Ingo Scholtes
Similarity-based Link Prediction from Modular Compression of Network Flows. CoRR abs/2208.14220 (2022) - [i29]Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs. CoRR abs/2209.08311 (2022) - [i28]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. CoRR abs/2210.07871 (2022) - 2021
- [j13]Christoph Gote
Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net. Empir. Softw. Eng. 26(4): 75 (2021) - [c49]Luka V. Petrovic, Ingo Scholtes:
PaCo: Fast Counting of Causal Paths in Temporal Network Data. WWW (Companion Volume) 2021: 521-526 - [c48]Jürgen Hackl
Analysis and Visualisation of Time Series Data on Networks with Pathpy. WWW (Companion Volume) 2021: 530-532 - [c47]Vincenzo Perri, Ingo Scholtes:
Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis. WWW (Companion Volume) 2021: 533-534 - [i27]Christoph Gote, Vincenzo Perri, Ingo Scholtes:
Predicting Influential Higher-Order Patterns in Temporal Network Data. CoRR abs/2107.12100 (2021) - [i26]Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad:
Sequential Motifs in Observed Walks. CoRR abs/2112.05642 (2021) - [i25]Tina Eliassi-Rad, Vito Latora, Martin Rosvall, Ingo Scholtes:
Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352). Dagstuhl Reports 11(7): 139-178 (2021) - 2020
- [c46]Vincenzo Perri
HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs. GD 2020: 99-114 - [c45]Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer:
HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks. SDM 2020: 460-468 - [i24]Luka V. Petrovic, Ingo Scholtes:
Learning the Markov order of paths in a network. CoRR abs/2007.02861 (2020) - [i23]Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes:
Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders. CoRR abs/2007.06662 (2020)
2010 – 2019
- 2019
- [c44]Ingo Scholtes, Markus Strohmaier:
Data Science. GI-Jahrestagung 2019: 187-188 - [c43]Christoph Gote, Ingo Scholtes, Frank Schweitzer:
git2net: Mining Time-Stamped Co-Editing Networks from Large git Repositories. GI-Jahrestagung 2019: 259-260 - [c42]Christoph Gote, Ingo Scholtes, Frank Schweitzer:
git2net: mining time-stamped co-editing networks from large git repositories. MSR 2019: 433-444 - [i22]Christoph Gote, Ingo Scholtes, Frank Schweitzer:
git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories. CoRR abs/1903.10180 (2019) - [i21]Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi
Detecting Path Anomalies in Time Series Data on Networks. CoRR abs/1905.10580 (2019) - [i20]Luka V. Petrovic, Ingo Scholtes:
Counting Causal Paths in Big Times Series Data on Networks. CoRR abs/1905.11287 (2019) - [i19]Vincenzo Perri, Ingo Scholtes:
Higher-Order Visualization of Causal Structures in Dynamics Graphs. CoRR abs/1908.05976 (2019) - [i18]Christoph Gote, Ingo Scholtes, Frank Schweitzer:
Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net. CoRR abs/1911.09484 (2019) - 2018
- [i17]Renaud Lambiotte, Martin Rosvall, Ingo Scholtes:
Understanding Complex Systems: From Networks to Optimal Higher-Order Models. CoRR abs/1806.05977 (2018) - 2017
- [j12]Emre Sarigöl, David García
Quantifying the effect of editor-author relations on manuscript handling times. Scientometrics 113(1): 609-631 (2017) - [j11]Kirstie L. Bellman, Jean Botev
Socially-Sensitive Systems Design: Exploring Social Potential. IEEE Technol. Soc. Mag. 36(3): 72-80 (2017) - [c41]Ingo Scholtes
When is a Network a Network?: Multi-Order Graphical Model Selection in Pathways and Temporal Networks. KDD 2017: 1037-1046 - [c40]Giona Casiraghi
From Relational Data to Graphs: Inferring Significant Links Using Generalized Hypergeometric Ensembles. SocInfo (2) 2017: 111-120 - [i16]Yan Zhang, Antonios Garas, Ingo Scholtes:
Controllability of temporal networks: An analysis using higher-order networks. CoRR abs/1701.06331 (2017) - [i15]Ingo Scholtes:
When is a Network a Network? Multi-Order Graphical Model Selection in Pathways and Temporal Networks. CoRR abs/1702.05499 (2017) - [i14]Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes, Frank Schweitzer:
From Relational Data to Graphs: Inferring Significant Links using Generalized Hypergeometric Ensembles. CoRR abs/1706.04370 (2017) - 2016
- [j10]Ingo Scholtes
From Aristotle to Ringelmann: a large-scale analysis of team productivity and coordination in Open Source Software projects. Empir. Softw. Eng. 21(2): 642-683 (2016) - [c39]Judith Michael, Ingo Scholtes:
Workshop: Informatik-Begeisterung 2016. GI-Jahrestagung 2016: 1147-1148 - [c38]Vikramjit Singh, Markus Esch, Ingo Scholtes:
Decentralized Cluster Detection in Distributed Systems Based on Self-Organized Synchronization. SASO 2016: 146-147 - [c37]Ingo Scholtes, Pavlin Mavrodiev, Frank Schweitzer:
From aristotle to ringelmann: A large-scale analysis of team productivity and coordination in open source software projects. Software Engineering 2016: 53-54 - [i13]Giona Casiraghi
Generalized Hypergeometric Ensembles: Statistical Hypothesis Testing in Complex Networks. CoRR abs/1607.02441 (2016) - 2015
- [j9]Ingo Scholtes:
Understanding complex systems: When Big Data meets network science. it Inf. Technol. 57(4): 252-256 (2015) - [c36]Ingo Scholtes, Marcelo Serrano Zanetti, Claudio Juan Tessone, Frank Schweitzer:
Automated Software Remodularization Based on Move Refactoring - A Complex Systems Approach. Software Engineering & Management 2015: 85-86 - [i12]Nicolas Wider, Antonios Garas, Ingo Scholtes, Frank Schweitzer:
An ensemble perspective on multi-layer networks. CoRR abs/1507.00169 (2015) - [i11]Ingo Scholtes, Nicolas Wider, Antonios Garas:
Higher-Order Aggregate Networks in the Analysis of Temporal Networks: Path structures and centralities. CoRR abs/1508.06467 (2015) - 2014
- [j8]Marcelo Cataldo, Ingo Scholtes
A Complex Networks Perspective on Collaborative Software Engineering. Adv. Complex Syst. 17(7-8) (2014) - [j7]Emre Sarigöl, René Pfitzner, Ingo Scholtes
Predicting scientific success based on coauthorship networks. EPJ Data Sci. 3(1): 9 (2014) - [c35]Marcelo Serrano Zanetti
Automated software remodularization based on move refactoring: a complex systems approach. MODULARITY 2014: 73-84 - [c34]Sven Tomforde, Jörg Hähner, Hella Seebach, Wolfgang Reif, Bernhard Sick, Arno Wacker, Ingo Scholtes:
Engineering and Mastering Interwoven Systems. ARCS Workshops 2014: 1-8 - [c33]Ingo Scholtes, Markus Esch:
Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization. SASO Workshops 2014: 1-2 - [c32]Ingo Scholtes, Marcelo Serrano Zanetti, Claudio Juan Tessone, Frank Schweitzer:
Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities. Software Engineering 2014: 27-28 - [c31]Radoslaw Michalski
Workshop on Social Influence - SI 2014 - Introduction. SocInfo Workshops 2014: 365-367 - [p2]Ingo Scholtes, René Pfitzner, Frank Schweitzer:
The Social Dimension of Information Ranking: A Discussion of Research Challenges and Approaches. Socioinformatics 2014: 45-61 - [p1]Valentin Burger, David Hock, Ingo Scholtes, Tobias Hoßfeld
Social Network Analysis in the Enterprise: Challenges and Opportunities. Socioinformatics 2014: 95-120 - [e1]Katharina Anna Zweig, Wolfgang Neuser, Volkmar Pipek
Socioinformatics - The Social Impact of Interactions between Humans and IT. Springer 2014, ISBN 978-3-319-09377-2 [contents] - [i10]Emre Sarigöl, René Pfitzner, Ingo Scholtes
Predicting Scientific Success Based on Coauthorship Networks. CoRR abs/1402.7268 (2014) - 2013
- [j6]Nicolas Perony
Enhancing Consensus under Opinion Bias by Means of Hierarchical Decision Making. Adv. Complex Syst. 16(6) (2013) - [c30]Valentin Burger, Tobias Hoßfeld, David García, Michael Seufert, Ingo Scholtes, David Hock:
Resilience in Enterprise Social Networks. GI-Jahrestagung 2013: 1165-1168 - [c29]Ingo Scholtes, René Pfitzner, Frank Schweitzer:
The Social Dimension of Information Ranking: A Discussion of Research Challenges and Approaches. GI-Jahrestagung 2013: 1177-1179 - [c28]Marcelo Serrano Zanetti
The rise and fall of a central contributor: Dynamics of social organization and performance in the GENTOO community. CHASE@ICSE 2013: 49-56 - [c27]Marcelo Serrano Zanetti
Categorizing bugs with social networks: a case study on four open source software communities. ICSE 2013: 1032-1041 - [c26]Ingo Scholtes
Complex Structures and Collective Dynamics in Networked Systems: A Tutorial. SASO 2013: 271-272 - [i9]Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer:
Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities. CoRR abs/1302.6764 (2013) - [i8]Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer:
The Rise and Fall of a Central Contributor: Dynamics of Social Organization and Performance in the Gentoo Community. CoRR abs/1302.7191 (2013) - [i7]Ingo Scholtes
Slow-Down vs. Speed-Up of Information Diffusion in Non-Markovian Temporal Networks. CoRR abs/1307.4030 (2013) - 2012
- [j5]Ingo Scholtes
Organic Design of Massively Distributed Systems: A Complex Networks Perspective. Inform. Spektrum 35(2): 75-86 (2012) - [c25]Nicolas Perony, René Pfitzner, Ingo Scholtes
Hierarchical Consensus Formation Reduces The Influence Of Opinion Bias. ECMS 2012: 662-668 - [c24]Marcelo Serrano Zanetti
A Quantitative Study of Social Organisation in Open Source Software Communities. ICCSW 2012: 116-122 - [c23]Joydeep Chandra, Ingo Scholtes
A Tunable Mechanism for Identifying Trusted Nodes in Large Scale Distributed Networks. TrustCom 2012: 722-729 - [i6]Ingo Scholtes, Claudio Juan Tessone:
Organic Design of Massively Distributed Systems: A Complex Networks Perspective. CoRR abs/1201.3480 (2012) - [i5]Nicolas Perony, René Pfitzner, Ingo Scholtes, Claudio J. Tessone, Frank Schweitzer:
Hierarchical Consensus Formation Reduces the Influence of Opinion Bias. CoRR abs/1204.0015 (2012) - [i4]Joydeep Chandra, Ingo Scholtes, Niloy Ganguly, Frank Schweitzer:
A Tunable Mechanism for Identifying Trusted Nodes in Large Scale Distributed Networks. CoRR abs/1204.5314 (2012) - [i3]René Pfitzner, Ingo Scholtes, Antonios Garas, Claudio J. Tessone
Betweenness Preference: Quantifying Correlations in the Topological Dynamics of Temporal Networks. CoRR abs/1208.0588 (2012) - [i2]Marcelo Serrano Zanetti, Emre Sarigöl, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer:
A Quantitative Study of Social Organization in Open Source Software Communities. CoRR abs/1208.4289 (2012) - 2011
- [c22]Markus Esch, Aleksandrina Kovacheva, Ingo Scholtes
TweetGames: A framework for twitter-based collaborative social online games. CollaborateCom 2011: 436-442 - 2010
- [j4]Ingo Scholtes
Epidemic Self-Synchronization in Complex Networks of Kuramoto oscillators. Adv. Complex Syst. 13(1): 33-58 (2010) - [j3]Jean Botev
HyperVerse: simulation and testbed reconciled. Int. J. Adv. Media Commun. 4(2): 167-181 (2010) - [c21]Markus Esch, Ingo Scholtes
Resilience and Multicast Aspects of the Structured Network Overlay GP3. CISIS 2010: 1117-1122 - [c20]Jean Botev
A self-organized resource allocation scheme for decentralized distributed virtual environments. CollaborateCom 2010: 1-7 - [c19]Ingo Scholtes
Distributed Creation and Adaptation of Random Scale-Free Overlay Networks. SASO 2010: 51-63 - [i1]Ingo Scholtes:
Distributed Creation and Adaptation of Random Scale-Free Overlay Networks. CoRR abs/1005.5628 (2010)
2000 – 2009
- 2009
- [j2]Hermann Schloss, Ingo Scholtes, Jean Botev, Markus Esch, Alexander Höhfeld, Peter Sturm:
Fuzzy Logic supported Consistency Management in DDVEs. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 17 (2009) - [c18]Markus Esch, Jean Botev
P2P-Based Avatar Interaction in Massive Multiuser Virtual Environments. CISIS 2009: 977-982 - [c17]Markus Esch, Ingo Scholtes
A scale-free and self-organized P2P overlay for massive multiuser virtual environments. CollaborateCom 2009: 1-10 - [c16]Ingo Scholtes
Epidemic Self-synchronization in Complex Networks. Complex (2) 2009: 1794-1809 - [c15]Markus Esch, Wei Tsang Ooi
Evaluation of the HyperVerse Avatar Management Scheme Based on the Analysis of Second Life Traces. ICPADS 2009: 692-699 - [c14]Markus Esch, Jean Botev
Performance Evaluation of GP3 - A Grid-Based Spatial Index Infrastructure. ITNG 2009: 663-670 - [c13]Alexander Höhfeld, Patrick Gratz, Angelo Beck, Jean Botev
Self-organizing collaborative filtering in global-scale massive multi-user virtual environments. SAC 2009: 1719-1723 - 2008
- [j1]Jean Botev
The HyperVerse: concepts for a federated and Torrent-based '3D Web'. Int. J. Adv. Media Commun. 2(4): 331-350 (2008) - [c12]Ingo Scholtes
Using Epidemic Hoarding to Minimize Load Delays in P2P Distributed Virtual Environments. CollaborateCom 2008: 578-593 - [c11]Markus Esch, Patrick Gratz, Steffen Rothkugel, Jörg Jakoby, Ingo Scholtes, Peter Sturm:
CrePes - Warum und wie Schüler ab 8 Jahren Programmieren lernen sollten. DeLFI 2008: 413-424 - [c10]Hermann Schloss, Jean Botev
HiOPS overlay - efficient provision of multicast in peer-to-peer systems. ICON 2008: 1-6 - [c9]Markus Esch, Jean Botev
GP3 - A Distributed Grid-Based Spatial Index Infrastructure for Massive Multiuser Virtual Environments. ICPADS 2008: 811-816 - [c8]Ingo Scholtes
Awareness-Driven Phase Transitions in Very Large Scale Distributed Systems. SASO 2008: 25-34 - [c7]Ingo Scholtes, Jean Botev
TopGen - internet router-level topology generation based on technology constraints. SimuTools 2008: 30 - [c6]Markus Esch, Jean Botev, Hermann Schloss, Alexander Höhfeld, Ingo Scholtes, Benjamin Zech:
SimCon - a simulation and visualization environment for overlay networks and large-scale applications. SimuTools 2008: 68 - 2007
- [c5]Markus Esch, Hermann Schloss, Ingo Scholtes
The SEMPA prototype - using XAML and web services for rich interactive Peer-to-Peer applications. CollaborateCom 2007: 271-277 - [c4]Hermann Schloss, Ingo Scholtes
SISC: providing efficient XML-based service-orientation for core OS functionality. SOCP@HPDC 2007: 45-52 - 2006
- [c3]Ingo Scholtes
Web Service Interface Syndication and its Application to a Collaborative Weblog Search. CollaborateCom 2006 - [c2]Ingo Scholtes, Peter Sturm:
Web Federates - Towards a Middleware for Highly Scalable Peer-to-Peer Services. WEBIST (1) 2006: 13-20 - [c1]Ingo Scholtes
Web Federates - Towards A Middleware for Highly Scalable Peer-to-Peer Services. WEBIST (Selected Papers) 2006: 138-149
Coauthor Index
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