Ingo Scholtes

130 papers A* 6A 3B 4C 9Misc 3Journal 68Unranked 33
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning.
Trans. Mach. Learn. Res.
Moritz Lampert, Christopher Blöcker, Ingo Scholtes
2025 J jnl
Exploring the structure of the school curriculum with graph neural networks.
J. Comput. Soc. Sci.
Benjamín Garzón, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes, Martin J. Tomasik
2025 J jnl
Generating Temporal Contact Graphs Using Random Walkers.
IEEE Trans. Netw. Sci. Eng.
Anton-David Almasan, Sergey Shvydun, Ingo Scholtes, Piet Van Mieghem
2025 J jnl
Insights from Network Science can advance Deep Graph Learning.
CoRR
Christopher Blöcker, Martin Rosvall, Ingo Scholtes, Jevin D. West
2025 J jnl
Understanding Collective Social Behavior in OSS Communities: A Co-editing Network Analysis of Activity Cascades.
CoRR
Lisi Qarkaxhija, Maximilian Carparo, Stefan Menzel, Bernhard Sendhoff, Ingo Scholtes
2025 J jnl
Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs.
CoRR
Franziska Heeg, Jonas Sauer, Petra Mutzel, Ingo Scholtes
2024 — book
Ausgezeichnete Informatikdissertationen 2023.
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
2024 J jnl
Flow Divergence: Comparing Maps of Flows with Relative Entropy.
CoRR
Christopher Blöcker, Ingo Scholtes
2024 J jnl
From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning.
CoRR
Moritz Lampert, Christopher Blöcker, Ingo Scholtes
2024 J jnl
Generating Temporal Contact Graphs Using Random Walkers.
CoRR
Anton-David Almasan, Sergey Shvydun, Ingo Scholtes, Piet Van Mieghem
2024 J jnl
Hierarchical Graph Pooling Based on Minimum Description Length.
CoRR
Jan von Pichowski, Christopher Blöcker, Ingo Scholtes
2024 J jnl
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs.
CoRR
Jan von Pichowski, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes
2024 J jnl
Link Prediction with Untrained Message Passing Layers.
CoRR
Lisi Qarkaxhija, Anatol E. Wegner, Ingo Scholtes
2024 A* conf
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks.
NeurIPS
Christopher Blöcker, Chester Tan, Ingo Scholtes
2024 A* conf
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs.
NeurIPS
Franziska Heeg, Ingo Scholtes
2023 J jnl
A Network Perspective on the Influence of Code Review Bots on the Structure of Developer Collaborations.
CoRR
Leonore Röseler, Ingo Scholtes, Christoph Gote
2023 J jnl
Bayesian inference of transition matrices from incomplete graph data with a topological prior.
EPJ Data Sci.
Vincenzo Perri, Luka V. Petrovic, Ingo Scholtes
2023 J jnl
Higher-Order Patterns Reveal Causal Timescales of Complex Systems.
CoRR
Luka V. Petrovic, Anatol E. Wegner, Ingo Scholtes
2023 J jnl
Locating Community Smells in Software Development Processes Using Higher-Order Network Centralities.
CoRR
Christoph Gote, Vincenzo Perri, Christian Zingg, Giona Casiraghi, Carsten Arzig, Alexander von Gernler, Frank Schweitzer, Ingo Scholtes
2023 J jnl
Locating community smells in software development processes using higher-order network centralities.
Soc. Netw. Anal. Min.
Christoph Gote, Vincenzo Perri, Christian Zingg, Giona Casiraghi, Carsten Arzig, Alexander von Gernler, Frank Schweitzer, Ingo Scholtes
2023 J jnl
Modeling social resilience: Questions, answers, open problems.
CoRR
Frank Schweitzer, Georges Andres, Giona Casiraghi, Christoph Gote, Ramona Roller, Ingo Scholtes, Giacomo Vaccario, Christian Zingg
2023 J jnl
Predicting variable-length paths in networked systems using multi-order generative models.
Appl. Netw. Sci.
Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes
2023 J jnl
The Map Equation Goes Neural.
CoRR
Christopher Blöcker, Chester Tan, Ingo Scholtes
2023 J jnl
The Self-Loop Paradox: Investigating the Impact of Self-Loops on Graph Neural Networks.
CoRR
Moritz Lampert, Ingo Scholtes
2023 J jnl
Using Causality-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs.
CoRR
Franziska Heeg, Ingo Scholtes
2022 A* conf
Big Data = Big Insights? Operationalising Brooks' Law in a Massive GitHub Data Set.
ICSE
Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer, Ingo Scholtes
2022 J jnl
Big Data = Big Insights? Operationalising Brooks' Law in a Massive GitHub Data Set.
CoRR
Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer, Ingo Scholtes
2022 — conf
De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs.
LoG
Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
2022 J jnl
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs.
CoRR
Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
2022 A* conf
Learning the Markov Order of Paths in Graphs.
WWW
Luka V. Petrovic, Ingo Scholtes
2022 J jnl
Modeling Social Resilience: Questions, Answers, Open Problems.
Adv. Complex Syst.
Frank Schweitzer, Georges Andres, Giona Casiraghi, Christoph Gote, Ramona Roller, Ingo Scholtes, Giacomo Vaccario, Christian Zingg
2022 — conf
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium.
CHR
Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe, Andreas Hotho, Ingo Scholtes
2022 J jnl
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium.
CoRR
Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe, Andreas Hotho, Ingo Scholtes
2022 B conf
Predicting Influential Higher-Order Patterns in Temporal Network Data.
ASONAM
Christoph Gote, Vincenzo Perri, Ingo Scholtes
2022 J jnl
Sequential motifs in observed walks.
J. Complex Networks
Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad
2022 — conf
Similarity-Based Link Prediction From Modular Compression of Network Flows.
LoG
Christopher Blöcker, Jelena Smiljanic, Ingo Scholtes, Martin Rosvall
2022 J jnl
Similarity-based Link Prediction from Modular Compression of Network Flows.
CoRR
Christopher Blöcker, Jelena Smiljanic, Ingo Scholtes, Martin Rosvall
2022 — conf
Willing to Revise? Confidence and Recommendation Adoption in AI-Assisted Image Recognition.
HHAI
Leonore Röseler, Ingo Scholtes, Bernhard Sendhoff, Anikó Hannák
2021 J jnl
Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net.
Empir. Softw. Eng.
Christoph Gote, Ingo Scholtes, Frank Schweitzer
2021 — conf
Analysis and Visualisation of Time Series Data on Networks with Pathpy.
WWW (Companion Volume)
Jürgen Hackl, Ingo Scholtes, Luka V. Petrovic, Vincenzo Perri, Luca Verginer, Christoph Gote
2021 J jnl
Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352).
Dagstuhl Reports
Tina Eliassi-Rad, Vito Latora, Martin Rosvall, Ingo Scholtes
2021 — conf
PaCo: Fast Counting of Causal Paths in Temporal Network Data.
WWW (Companion Volume)
Luka V. Petrovic, Ingo Scholtes
2021 J jnl
Predicting Influential Higher-Order Patterns in Temporal Network Data.
CoRR
Christoph Gote, Vincenzo Perri, Ingo Scholtes
2021 J jnl
Sequential Motifs in Observed Walks.
CoRR
Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad
2021 — conf
Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis.
WWW (Companion Volume)
Vincenzo Perri, Ingo Scholtes
2020 A conf
HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs.
GD
Vincenzo Perri, Ingo Scholtes
2020 A conf
HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks.
SDM
Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer
2020 J jnl
Learning the Markov order of paths in a network.
CoRR
Luka V. Petrovic, Ingo Scholtes
2020 J jnl
Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders.
CoRR
Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes
2019 J jnl
Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net.
CoRR
Christoph Gote, Ingo Scholtes, Frank Schweitzer
2019 J jnl
Counting Causal Paths in Big Times Series Data on Networks.
CoRR
Luka V. Petrovic, Ingo Scholtes
2019 — conf
Data Science.
GI-Jahrestagung
Ingo Scholtes, Markus Strohmaier
2019 J jnl
Detecting Path Anomalies in Time Series Data on Networks.
CoRR
Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer
2019 J jnl
Higher-Order Visualization of Causal Structures in Dynamics Graphs.
CoRR
Vincenzo Perri, Ingo Scholtes
2019 J jnl
git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories.
CoRR
Christoph Gote, Ingo Scholtes, Frank Schweitzer
2019 — conf
git2net: Mining Time-Stamped Co-Editing Networks from Large git Repositories.
GI-Jahrestagung
Christoph Gote, Ingo Scholtes, Frank Schweitzer
2019 A conf
git2net: mining time-stamped co-editing networks from large git repositories.
MSR
Christoph Gote, Ingo Scholtes, Frank Schweitzer
2018 J jnl
Understanding Complex Systems: From Networks to Optimal Higher-Order Models.
CoRR
Renaud Lambiotte, Martin Rosvall, Ingo Scholtes
2017 J jnl
Controllability of temporal networks: An analysis using higher-order networks.
CoRR
Yan Zhang, Antonios Garas, Ingo Scholtes
2017 — conf
From Relational Data to Graphs: Inferring Significant Links Using Generalized Hypergeometric Ensembles.
SocInfo (2)
Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes, Frank Schweitzer
2017 J jnl
From Relational Data to Graphs: Inferring Significant Links using Generalized Hypergeometric Ensembles.
CoRR
Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes, Frank Schweitzer
2017 J jnl
Quantifying the effect of editor-author relations on manuscript handling times.
Scientometrics
Emre Sarigöl, David García, Ingo Scholtes, Frank Schweitzer
2017 J jnl
Socially-Sensitive Systems Design: Exploring Social Potential.
IEEE Technol. Soc. Mag.
Kirstie L. Bellman, Jean Botev, Hanno Hildmann, Peter R. Lewis, Stephen Marsh, Jeremy Pitt, Ingo Scholtes, Sven Tomforde
2017 J jnl
When is a Network a Network? Multi-Order Graphical Model Selection in Pathways and Temporal Networks.
CoRR
Ingo Scholtes
2017 A* conf
When is a Network a Network?: Multi-Order Graphical Model Selection in Pathways and Temporal Networks.
KDD
Ingo Scholtes
2016 — conf
Decentralized Cluster Detection in Distributed Systems Based on Self-Organized Synchronization.
SASO
Vikramjit Singh, Markus Esch, Ingo Scholtes
2016 J jnl
From Aristotle to Ringelmann: a large-scale analysis of team productivity and coordination in Open Source Software projects.
Empir. Softw. Eng.
Ingo Scholtes, Pavlin Mavrodiev, Frank Schweitzer
2016 C conf
From aristotle to ringelmann: A large-scale analysis of team productivity and coordination in open source software projects.
Software Engineering
Ingo Scholtes, Pavlin Mavrodiev, Frank Schweitzer
2016 J jnl
Generalized Hypergeometric Ensembles: Statistical Hypothesis Testing in Complex Networks.
CoRR
Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes, Frank Schweitzer
2016 — conf
Workshop: Informatik-Begeisterung 2016.
GI-Jahrestagung
Judith Michael, Ingo Scholtes
2015 J jnl
An ensemble perspective on multi-layer networks.
CoRR
Nicolas Wider, Antonios Garas, Ingo Scholtes, Frank Schweitzer
2015 — conf
Automated Software Remodularization Based on Move Refactoring - A Complex Systems Approach.
Software Engineering & Management
Ingo Scholtes, Marcelo Serrano Zanetti, Claudio Juan Tessone, Frank Schweitzer
2015 J jnl
Higher-Order Aggregate Networks in the Analysis of Temporal Networks: Path structures and centralities.
CoRR
Ingo Scholtes, Nicolas Wider, Antonios Garas
2015 J jnl
Understanding complex systems: When Big Data meets network science.
it Inf. Technol.
Ingo Scholtes
2014 J jnl
A Complex Networks Perspective on Collaborative Software Engineering.
Adv. Complex Syst.
Marcelo Cataldo, Ingo Scholtes, Giuseppe Valetto
2014 — conf
Automated software remodularization based on move refactoring: a complex systems approach.
MODULARITY
Marcelo Serrano Zanetti, Claudio Juan Tessone, Ingo Scholtes, Frank Schweitzer
2014 C conf
Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities.
Software Engineering
Ingo Scholtes, Marcelo Serrano Zanetti, Claudio Juan Tessone, Frank Schweitzer
2014 — conf
Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization.
SASO Workshops
Ingo Scholtes, Markus Esch
2014 — conf
Engineering and Mastering Interwoven Systems.
ARCS Workshops
Sven Tomforde, Jörg Hähner, Hella Seebach, Wolfgang Reif, Bernhard Sick, Arno Wacker, Ingo Scholtes
2014 J jnl
Predicting Scientific Success Based on Coauthorship Networks.
CoRR
Emre Sarigöl, René Pfitzner, Ingo Scholtes, Antonios Garas, Frank Schweitzer
2014 J jnl
Predicting scientific success based on coauthorship networks.
EPJ Data Sci.
Emre Sarigöl, René Pfitzner, Ingo Scholtes, Antonios Garas, Frank Schweitzer
2014 — ch.
Social Network Analysis in the Enterprise: Challenges and Opportunities.
Socioinformatics
Valentin Burger, David Hock, Ingo Scholtes, Tobias Hoßfeld, David García, Michael Seufert
2014 — book
Socioinformatics - The Social Impact of Interactions between Humans and IT
Katharina A. Zweig, Wolfgang Neuser, Volkmar Pipek, Markus Rohde, Ingo Scholtes
2014 — ch.
The Social Dimension of Information Ranking: A Discussion of Research Challenges and Approaches.
Socioinformatics
Ingo Scholtes, René Pfitzner, Frank Schweitzer
2014 — conf
Workshop on Social Influence - SI 2014 - Introduction.
SocInfo Workshops
Radoslaw Michalski, Paulo Shakarian, Ingo Scholtes, Jaroslaw Jankowski
2013 J jnl
Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities
CoRR
Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer
2013 A* conf
Categorizing bugs with social networks: a case study on four open source software communities.
ICSE
Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer
2013 — conf
Complex Structures and Collective Dynamics in Networked Systems: A Tutorial.
SASO
Ingo Scholtes, Markus Esch
2013 J jnl
Enhancing Consensus under Opinion Bias by Means of Hierarchical Decision Making.
Adv. Complex Syst.
Nicolas Perony, René Pfitzner, Ingo Scholtes, Claudio J. Tessone, Frank Schweitzer
2013 — conf
Resilience in Enterprise Social Networks.
GI-Jahrestagung
Valentin Burger, Tobias Hoßfeld, David García, Michael Seufert, Ingo Scholtes, David Hock
2013 J jnl
Slow-Down vs. Speed-Up of Information Diffusion in Non-Markovian Temporal Networks.
CoRR
Ingo Scholtes, Nicolas Wider, René Pfitzner, Antonios Garas, Claudio Juan Tessone, Frank Schweitzer
2013 J jnl
The Rise and Fall of a Central Contributor: Dynamics of Social Organization and Performance in the Gentoo Community
CoRR
Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer
2013 — conf
The Social Dimension of Information Ranking: A Discussion of Research Challenges and Approaches.
GI-Jahrestagung
Ingo Scholtes, René Pfitzner, Frank Schweitzer
2013 — conf
The rise and fall of a central contributor: Dynamics of social organization and performance in the GENTOO community.
CHASE@ICSE
Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer
2012 — conf
A Quantitative Study of Social Organisation in Open Source Software Communities.
ICCSW
Marcelo Serrano Zanetti, Emre Sarigöl, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer
2012 J jnl
A Quantitative Study of Social Organization in Open Source Software Communities
CoRR
Marcelo Serrano Zanetti, Emre Sarigöl, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer
2012 J jnl
A Tunable Mechanism for Identifying Trusted Nodes in Large Scale Distributed Networks
CoRR
Joydeep Chandra, Ingo Scholtes, Niloy Ganguly, Frank Schweitzer
2012 B conf
A Tunable Mechanism for Identifying Trusted Nodes in Large Scale Distributed Networks.
TrustCom
Joydeep Chandra, Ingo Scholtes, Niloy Ganguly, Frank Schweitzer
2012 J jnl
Betweenness Preference: Quantifying Correlations in the Topological Dynamics of Temporal Networks
CoRR
René Pfitzner, Ingo Scholtes, Antonios Garas, Claudio J. Tessone, Frank Schweitzer
2012 C conf
Hierarchical Consensus Formation Reduces The Influence Of Opinion Bias.
ECMS
Nicolas Perony, René Pfitzner, Ingo Scholtes, Claudio J. Tessone, Frank Schweitzer
2012 J jnl
Hierarchical Consensus Formation Reduces the Influence of Opinion Bias
CoRR
Nicolas Perony, René Pfitzner, Ingo Scholtes, Claudio J. Tessone, Frank Schweitzer
2012 J jnl
Organic Design of Massively Distributed Systems: A Complex Networks Perspective
CoRR
Ingo Scholtes, Claudio Juan Tessone
2012 J jnl
Organic Design of Massively Distributed Systems: A Complex Networks Perspective.
Inform. Spektrum
Ingo Scholtes, Claudio Juan Tessone
2011 C conf
TweetGames: A framework for twitter-based collaborative social online games.
CollaborateCom
Markus Esch, Aleksandrina Kovacheva, Ingo Scholtes, Steffen Rothkugel
2010 C conf
A self-organized resource allocation scheme for decentralized distributed virtual environments.
CollaborateCom
Jean Botev, Ingo Scholtes
2010 J jnl
Distributed Creation and Adaptation of Random Scale-Free Overlay Networks
CoRR
Ingo Scholtes
2010 — conf
Distributed Creation and Adaptation of Random Scale-Free Overlay Networks.
SASO
Ingo Scholtes
2010 J jnl
Epidemic Self-Synchronization in Complex Networks of Kuramoto oscillators.
Adv. Complex Syst.
Ingo Scholtes, Jean Botev, Markus Esch, Peter Sturm
2010 J jnl
HyperVerse: simulation and testbed reconciled.
Int. J. Adv. Media Commun.
Jean Botev, Markus Esch, Hermann Schloss, Ingo Scholtes, Peter Sturm
2010 Misc conf
Resilience and Multicast Aspects of the Structured Network Overlay GP3.
CISIS
Markus Esch, Ingo Scholtes
2009 C conf
A scale-free and self-organized P2P overlay for massive multiuser virtual environments.
CollaborateCom
Markus Esch, Ingo Scholtes
2009 — conf
Epidemic Self-synchronization in Complex Networks.
Complex (2)
Ingo Scholtes, Jean Botev, Markus Esch, Peter Sturm
2009 B conf
Evaluation of the HyperVerse Avatar Management Scheme Based on the Analysis of Second Life Traces.
ICPADS
Markus Esch, Wei Tsang Ooi, Ingo Scholtes
2009 J jnl
Fuzzy Logic supported Consistency Management in DDVEs.
Electron. Commun. Eur. Assoc. Softw. Sci. Technol.
Hermann Schloss, Ingo Scholtes, Jean Botev, Markus Esch, Alexander Höhfeld, Peter Sturm
2009 Misc conf
P2P-Based Avatar Interaction in Massive Multiuser Virtual Environments.
CISIS
Markus Esch, Jean Botev, Hermann Schloss, Ingo Scholtes
2009 — conf
Performance Evaluation of GP3 - A Grid-Based Spatial Index Infrastructure.
ITNG
Markus Esch, Jean Botev, Hermann Schloss, Ingo Scholtes
2009 Misc conf
Self-organizing collaborative filtering in global-scale massive multi-user virtual environments.
SAC
Alexander Höhfeld, Patrick Gratz, Angelo Beck, Jean Botev, Hermann Schloss, Ingo Scholtes
2008 — conf
Awareness-Driven Phase Transitions in Very Large Scale Distributed Systems.
SASO
Ingo Scholtes, Jean Botev, Alexander Höhfeld, Hermann Schloss, Markus Esch
2008 — conf
CrePes - Warum und wie Schüler ab 8 Jahren Programmieren lernen sollten.
DeLFI
Markus Esch, Patrick Gratz, Steffen Rothkugel, Jörg Jakoby, Ingo Scholtes, Peter Sturm
2008 B conf
GP3 - A Distributed Grid-Based Spatial Index Infrastructure for Massive Multiuser Virtual Environments.
ICPADS
Markus Esch, Jean Botev, Hermann Schloss, Ingo Scholtes
2008 — conf
HiOPS overlay - efficient provision of multicast in peer-to-peer systems.
ICON
Hermann Schloss, Jean Botev, Alexander Höhfeld, Ingo Scholtes, Rainer Oechsle, Markus Esch
2008 — conf
SimCon - a simulation and visualization environment for overlay networks and large-scale applications.
SimuTools
Markus Esch, Jean Botev, Hermann Schloss, Alexander Höhfeld, Ingo Scholtes, Benjamin Zech
2008 J jnl
The HyperVerse: concepts for a federated and Torrent-based '3D Web'.
Int. J. Adv. Media Commun.
Jean Botev, Alexander Höhfeld, Hermann Schloss, Ingo Scholtes, Peter Sturm, Markus Esch
2008 — conf
TopGen - internet router-level topology generation based on technology constraints.
SimuTools
Ingo Scholtes, Jean Botev, Markus Esch, Alexander Höhfeld, Hermann Schloss, Benjamin Zech
2008 C conf
Using Epidemic Hoarding to Minimize Load Delays in P2P Distributed Virtual Environments.
CollaborateCom
Ingo Scholtes, Jean Botev, Markus Esch, Hermann Schloss, Peter Sturm
2007 — conf
SISC: providing efficient XML-based service-orientation for core OS functionality.
SOCP@HPDC
Hermann Schloss, Ingo Scholtes, Peter Sturm
2007 C conf
The SEMPA prototype - using XAML and web services for rich interactive Peer-to-Peer applications.
CollaborateCom
Markus Esch, Hermann Schloss, Ingo Scholtes
2006 — conf
Web Federates - Towards A Middleware for Highly Scalable Peer-to-Peer Services.
WEBIST (Selected Papers)
Ingo Scholtes, Peter Sturm
2006 — conf
Web Federates - Towards a Middleware for Highly Scalable Peer-to-Peer Services.
WEBIST (1)
Ingo Scholtes, Peter Sturm
2006 C conf
Web Service Interface Syndication and its Application to a Collaborative Weblog Search.
CollaborateCom
Ingo Scholtes, Daniel Görgen, Patrick Gratz