Dr. Christoph Gote

Postdoc

Christoph Gote is a Postdoctoral Researcher at the Chair of Systems Design at ETH Zurich and at the Data Analytics Group at the University of Zurich. His research focuses on the analysis of collaboration structures in software development teams. To this end, he develops tools, such as git2net and gambit, that facilitate the extraction and cleaning of action and interaction data from git repositories. From these actions and interactions, he subsequently derives fine-grained social and technical networks. Based on these networks, he studies topics such as the optimal size for teams, the relationship between coordination structures and team productivity, the emergence of hierarchies, and team resilience. For this research, he applies a broad range of methods from data-driven modelling, statistics, machine learning, and network analysis. In addition, he develops state-of-the-art techniques for temporal-, higher-, and multi-order network analysis.


Christoph's most recent publications

Predicting variable-length paths in networked systems using multi-order generative models.

Applied Network Science - 2023

Christoph Gote, Giona Casiraghi, Frank Schweitzer and Ingo Scholtes

Helping a Friend or Supporting a Cause? Disentangling Active and Passive Cosponsorship in the U.S. Congress

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) - 2023

Giuseppe Russo, Christoph Gote, Laurence Brandenberger, Sophia Schlosser and Frank Schweitzer

Detecting and Optimising Team Interactions in Software Development

arXiv - 2023

Christian Zingg, Alexander von Gernler, Carsten Arzig, Frank Schweitzer and Christoph Gote

Locating Community Smells in Software Development Processes Using Higher-Order Network Centralities

Social Network Analysis and Mining - 2023

Christoph Gote, Vincenzo Perri, Christian Zingg, Giona Casiraghi, Carsten Arzig, Alexander von Gernler, Frank Schweitzer and Ingo Scholtes

Modeling social resilience: Questions, answers, open problems

Advances in Complex Systems - 2022

Frank Schweitzer, Georges Andres, Giona Casiraghi, Christoph Gote, Ramona Roller, Ingo Scholtes, Giacomo Vaccario and Christian Zingg

Predicting Influential Higher-Order Patterns in Temporal Network Data

2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) - 2022

Christoph Gote, Vincenzo Perri and Ingo Scholtes

Big Data = Big Insights? Operationalising Brooks' Law in a Massive GitHub Data Set

2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE) - 2022

Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer and Ingo Scholtes

gambit - An Open Source Name Disambiguation Tool for Version Control Systems

2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR) - 2021

Christoph Gote and Christian Zingg

Analysis and Visualisation of Time Series Data on Networks with Pathpy

Companion Proceedings of the Web Conference 2021 - 2021

Jürgen Hackl, Ingo Scholtes, Luka V Petrović, Vincenzo Perri, Luca Verginer and Christoph Gote

Analysing time-stamped co-editing networks in software development teams using git2net

Empirical Software Engineering - 2021

Christoph Gote, Ingo Scholtes and Frank Schweitzer

Multilayer network approach to modeling authorship influence on citation dynamics in physics journals

Physical Review E - 2020

Vahan Nanumyan, Christoph Gote and Frank Schweitzer

git2net - An Open Source Package to Mine Time-Stamped Collaboration Networks from Large git Repositories

Proceedings of the 16th International Conference on Mining Software Repositories - 2019

Christoph Gote, Ingo Scholtes and Frank Schweitzer

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