Ingo Scholtes

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 59

Top Venues

CoRR

GI-Jahrestagung

WWW (Companion Volume)

Empir. Softw. Eng.

Publications

Jan von Pichowski, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs. CoRR (2024)
Lisi Qarkaxhija, Anatol E. Wegner, Ingo Scholtes
Link Prediction with Untrained Message Passing Layers. CoRR (2024)
Moritz Lampert, Christopher Blöcker, Ingo Scholtes
From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning. CoRR (2024)
Christopher Blöcker, Ingo Scholtes
Flow Divergence: Comparing Maps of Flows with Relative Entropy. CoRR (2024)
Moritz Lampert, Ingo Scholtes
The Self-Loop Paradox: Investigating the Impact of Self-Loops on Graph Neural Networks. CoRR (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. Soc. Netw. Anal. Min. 13 (1) (2023)
Frank Schweitzer, Georges Andres, Giona Casiraghi, Christoph Gote, Ramona Roller, Ingo Scholtes, Giacomo Vaccario, Christian Zingg
Modeling social resilience: Questions, answers, open problems. CoRR (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. CoRR (2023)
Vincenzo Perri, Luka V. Petrovic, Ingo Scholtes
Bayesian inference of transition matrices from incomplete graph data with a topological prior. EPJ Data Sci. 12 (1) (2023)
Luka V. Petrovic, Anatol Wegner, Ingo Scholtes
Higher-Order Patterns Reveal Causal Timescales of Complex Systems. CoRR (2023)
Christopher Blöcker, Chester Tan, Ingo Scholtes
The Map Equation Goes Neural. CoRR (2023)
Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes
Predicting variable-length paths in networked systems using multi-order generative models. Appl. Netw. Sci. 8 (1) (2023)
Franziska Heeg, Ingo Scholtes
Using Causality-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs. CoRR (2023)
Leonore Röseler, Ingo Scholtes, Christoph Gote
A Network Perspective on the Influence of Code Review Bots on the Structure of Developer Collaborations. CoRR (2023)
Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer, Ingo Scholtes
Big Data = Big Insights? Operationalising Brooks' Law in a Massive GitHub Data Set. ICSE (2022)
Leonore Röseler, Ingo Scholtes, Bernhard Sendhoff, Anikó Hannák
Willing to Revise? Confidence and Recommendation Adoption in AI-Assisted Image Recognition. HHAI (2022)
Frank Schweitzer, Georges Andres, Giona Casiraghi, Christoph Gote, Ramona Roller, Ingo Scholtes, Giacomo Vaccario, Christian Zingg
Modeling Social Resilience: Questions, Answers, Open Problems. Adv. Complex Syst. 25 (8) (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. CoRR (2022)
Christopher Blöcker, Jelena Smiljanic, Ingo Scholtes, Martin Rosvall
Similarity-based Link Prediction from Modular Compression of Network Flows. CoRR (2022)
Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer, Ingo Scholtes
Big Data = Big Insights? Operationalising Brooks' Law in a Massive GitHub Data Set. CoRR (2022)
Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad
Sequential motifs in observed walks. J. Complex Networks 10 (5) (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. CHR (2022)
Christoph Gote, Vincenzo Perri, Ingo Scholtes
Predicting Influential Higher-Order Patterns in Temporal Network Data. ASONAM (2022)
Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs. CoRR (2022)
Christopher Blöcker, Jelena Smiljanic, Ingo Scholtes, Martin Rosvall
Similarity-Based Link Prediction From Modular Compression of Network Flows. LoG (2022)
Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs. LoG (2022)
Luka V. Petrovic, Ingo Scholtes
Learning the Markov Order of Paths in Graphs. WWW (2022)
Vincenzo Perri, Ingo Scholtes
Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis. WWW (Companion Volume) (2021)
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) (2021)
Jürgen Hackl, Ingo Scholtes, Luka V. Petrovic, Vincenzo Perri, Luca Verginer, Christoph Gote
Analysis and Visualisation of Time Series Data on Networks with Pathpy. WWW (Companion Volume) (2021)
Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad
Sequential Motifs in Observed Walks. CoRR (2021)
Luka V. Petrovic, Ingo Scholtes
PaCo: Fast Counting of Causal Paths in Temporal Network Data. WWW (Companion Volume) (2021)
Christoph Gote, Vincenzo Perri, Ingo Scholtes
Predicting Influential Higher-Order Patterns in Temporal Network Data. CoRR (2021)
Christoph Gote, Ingo Scholtes, Frank Schweitzer
Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net. Empir. Softw. Eng. 26 (4) (2021)
Luka V. Petrovic, Ingo Scholtes
Learning the Markov order of paths in a network. CoRR (2020)
Vincenzo Perri, Ingo Scholtes
HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs. Graph Drawing (2020)
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)
Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes
Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders. CoRR (2020)
Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer
Detecting Path Anomalies in Time Series Data on Networks. CoRR (2019)
Vincenzo Perri, Ingo Scholtes
Higher-Order Visualization of Causal Structures in Dynamics Graphs. CoRR (2019)
Ingo Scholtes, Markus Strohmaier
Data Science. GI-Jahrestagung (2019)
Christoph Gote, Ingo Scholtes, Frank Schweitzer
git2net: Mining Time-Stamped Co-Editing Networks from Large git Repositories. GI-Jahrestagung (2019)
Christoph Gote, Ingo Scholtes, Frank Schweitzer
git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories. CoRR (2019)
Luka V. Petrovic, Ingo Scholtes
Counting Causal Paths in Big Times Series Data on Networks. CoRR (2019)
Christoph Gote, Ingo Scholtes, Frank Schweitzer
git2net: mining time-stamped co-editing networks from large git repositories. MSR (2019)
Christoph Gote, Ingo Scholtes, Frank Schweitzer
Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net. CoRR (2019)
Renaud Lambiotte, Martin Rosvall, Ingo Scholtes
Understanding Complex Systems: From Networks to Optimal Higher-Order Models. CoRR (2018)
Ingo Scholtes
When is a Network a Network? Multi-Order Graphical Model Selection in Pathways and Temporal Networks. CoRR (2017)
Yan Zhang, Antonios Garas, Ingo Scholtes
Controllability of temporal networks: An analysis using higher-order networks. CoRR (2017)
Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes, Frank Schweitzer
From Relational Data to Graphs: Inferring Significant Links Using Generalized Hypergeometric Ensembles. SocInfo (2) (2017)
Emre Sarigöl, David García, Ingo Scholtes, Frank Schweitzer
Quantifying the effect of editor-author relations on manuscript handling times. Scientometrics 113 (1) (2017)
Kirstie L. Bellman, Jean Botev, Hanno Hildmann, Peter R. Lewis, Stephen Marsh, Jeremy Pitt, Ingo Scholtes, Sven Tomforde
Socially-Sensitive Systems Design: Exploring Social Potential. IEEE Technol. Soc. Mag. 36 (3) (2017)
Ingo Scholtes
When is a Network a Network?: Multi-Order Graphical Model Selection in Pathways and Temporal Networks. KDD (2017)
Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes, Frank Schweitzer
From Relational Data to Graphs: Inferring Significant Links using Generalized Hypergeometric Ensembles. CoRR (2017)
Judith Michael, Ingo Scholtes
Workshop: Informatik-Begeisterung 2016. GI-Jahrestagung (2016)
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)
Vikramjit Singh, Markus Esch, Ingo Scholtes
Decentralized Cluster Detection in Distributed Systems Based on Self-Organized Synchronization. SASO (2016)
Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes, Frank Schweitzer
Generalized Hypergeometric Ensembles: Statistical Hypothesis Testing in Complex Networks. CoRR (2016)
Ingo Scholtes, Pavlin Mavrodiev, Frank Schweitzer
From Aristotle to Ringelmann: a large-scale analysis of team productivity and coordination in Open Source Software projects. Empir. Softw. Eng. 21 (2) (2016)
Ingo Scholtes
Understanding complex systems: When Big Data meets network science. it Inf. Technol. 57 (4) (2015)
Nicolas Wider, Antonios Garas, Ingo Scholtes, Frank Schweitzer
An ensemble perspective on multi-layer networks. CoRR (2015)
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)
Ingo Scholtes, Nicolas Wider, Antonios Garas
Higher-Order Aggregate Networks in the Analysis of Temporal Networks: Path structures and centralities. CoRR (2015)
Ingo Scholtes, Markus Esch
Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization. SASO Workshops (2014)
Radoslaw Michalski, Paulo Shakarian, Ingo Scholtes, Jaroslaw Jankowski
Workshop on Social Influence - SI 2014 - Introduction. SocInfo Workshops (2014)
Emre Sarigöl, René Pfitzner, Ingo Scholtes, Antonios Garas, Frank Schweitzer
Predicting scientific success based on coauthorship networks. EPJ Data Sci. 3 (1) (2014)
Marcelo Cataldo, Ingo Scholtes, Giuseppe Valetto
A Complex Networks Perspective on Collaborative Software Engineering. Adv. Complex Syst. 17 (7-8) (2014)
Sven Tomforde, Jörg Hähner, Hella Seebach, Wolfgang Reif, Bernhard Sick, Arno Wacker, Ingo Scholtes
Engineering and Mastering Interwoven Systems. ARCS Workshops (2014)
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)
Emre Sarigöl, René Pfitzner, Ingo Scholtes, Antonios Garas, Frank Schweitzer
Predicting Scientific Success Based on Coauthorship Networks. CoRR (2014)
Marcelo Serrano Zanetti, Claudio Juan Tessone, Ingo Scholtes, Frank Schweitzer
Automated software remodularization based on move refactoring: a complex systems approach. MODULARITY (2014)
Ingo Scholtes, Nicolas Wider, René Pfitzner, Antonios Garas, Claudio Juan Tessone, Frank Schweitzer
Slow-Down vs. Speed-Up of Information Diffusion in Non-Markovian Temporal Networks. CoRR (2013)
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 (2013)
Ingo Scholtes, Markus Esch
Complex Structures and Collective Dynamics in Networked Systems: A Tutorial. SASO (2013)
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 (2013)
Nicolas Perony, René Pfitzner, Ingo Scholtes, Claudio J. Tessone, Frank Schweitzer
Enhancing Consensus under Opinion Bias by Means of Hierarchical Decision Making. Adv. Complex Syst. 16 (6) (2013)
Valentin Burger, Tobias Hoßfeld, David García, Michael Seufert, Ingo Scholtes, David Hock
Resilience in Enterprise Social Networks. GI-Jahrestagung (2013)
Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer
Categorizing bugs with social networks: a case study on four open source software communities. ICSE (2013)
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. CHASE@ICSE (2013)
Ingo Scholtes, René Pfitzner, Frank Schweitzer
The Social Dimension of Information Ranking: A Discussion of Research Challenges and Approaches. GI-Jahrestagung (2013)
René Pfitzner, Ingo Scholtes, Antonios Garas, Claudio J. Tessone, Frank Schweitzer
Betweenness Preference: Quantifying Correlations in the Topological Dynamics of Temporal Networks CoRR (2012)
Joydeep Chandra, Ingo Scholtes, Niloy Ganguly, Frank Schweitzer
A Tunable Mechanism for Identifying Trusted Nodes in Large Scale Distributed Networks CoRR (2012)
Marcelo Serrano Zanetti, Emre Sarigöl, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer
A Quantitative Study of Social Organisation in Open Source Software Communities. ICCSW (2012)
Joydeep Chandra, Ingo Scholtes, Niloy Ganguly, Frank Schweitzer
A Tunable Mechanism for Identifying Trusted Nodes in Large Scale Distributed Networks. TrustCom (2012)
Nicolas Perony, René Pfitzner, Ingo Scholtes, Claudio J. Tessone, Frank Schweitzer
Hierarchical Consensus Formation Reduces The Influence Of Opinion Bias. ECMS (2012)
Ingo Scholtes, Claudio Juan Tessone
Organic Design of Massively Distributed Systems: A Complex Networks Perspective CoRR (2012)
Ingo Scholtes, Claudio Juan Tessone
Organic Design of Massively Distributed Systems: A Complex Networks Perspective. Inform. Spektrum 35 (2) (2012)
Nicolas Perony, René Pfitzner, Ingo Scholtes, Claudio J. Tessone, Frank Schweitzer
Hierarchical Consensus Formation Reduces the Influence of Opinion Bias CoRR (2012)
Marcelo Serrano Zanetti, Emre Sarigöl, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer
A Quantitative Study of Social Organization in Open Source Software Communities CoRR (2012)
Markus Esch, Aleksandrina Kovacheva, Ingo Scholtes, Steffen Rothkugel
TweetGames: A framework for twitter-based collaborative social online games. CollaborateCom (2011)
Markus Esch, Ingo Scholtes
Resilience and Multicast Aspects of the Structured Network Overlay GP3. CISIS (2010)
Ingo Scholtes
Distributed Creation and Adaptation of Random Scale-Free Overlay Networks CoRR (2010)
Ingo Scholtes, Jean Botev, Markus Esch, Peter Sturm
Epidemic Self-Synchronization in Complex Networks of Kuramoto oscillators. Adv. Complex Syst. 13 (1) (2010)
Jean Botev, Ingo Scholtes
A self-organized resource allocation scheme for decentralized distributed virtual environments. CollaborateCom (2010)
Ingo Scholtes
Distributed Creation and Adaptation of Random Scale-Free Overlay Networks. SASO (2010)
Jean Botev, Markus Esch, Hermann Schloss, Ingo Scholtes, Peter Sturm
HyperVerse: simulation and testbed reconciled. Int. J. Adv. Media Commun. 4 (2) (2010)
Markus Esch, Jean Botev, Hermann Schloss, Ingo Scholtes
P2P-Based Avatar Interaction in Massive Multiuser Virtual Environments. CISIS (2009)
Markus Esch, Jean Botev, Hermann Schloss, Ingo Scholtes
Performance Evaluation of GP3 - A Grid-Based Spatial Index Infrastructure. ITNG (2009)
Alexander Höhfeld, Patrick Gratz, Angelo Beck, Jean Botev, Hermann Schloss, Ingo Scholtes
Self-organizing collaborative filtering in global-scale massive multi-user virtual environments. SAC (2009)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ingo Scholtes