Dr. Christian Zingg
My research examines the impact that shocks such as the departure of key individuals have on social systems and their subsequent recovery. I develop and analyse statistical resilience measures that are, for example, based on entropies and which are computationally efficient. This enables me to study the resilience of systems with hundreds of individuals and analyse their evolution over multiple years.
The social systems that I study are primarily teams of Open Source Software developers on online platforms such as GitHub. I follow a data-driven approach by mining and analysing hundreds of Gigabytes of data to track the interactions between developers based on their public activities.
By studying the effects of shocks on software development teams, I aim to develop strategies to promote their resilience and sustainability. Through this research, I hope to contribute to our understanding of how these teams respond to disruptions and how they can be supported to recover quickly and efficiently.
Christian's most recent publications
Detecting and Optimising Team Interactions in Software Development
arXiv - 2023
Locating Community Smells in Software Development Processes Using Higher-Order Network Centralities
Social Network Analysis and Mining - 2023
Modeling social resilience: Questions, answers, open problems
Advances in Complex Systems - 2022
Struggling with change: The fragile resilience of collectives
Perspectives on Psychological Science - 2022
The downside of heterogeneity: How established relations counteract systemic adaptivity in tasks assignments
Entropy, 23(12), 1677 - 2021
gambit - An Open Source Name Disambiguation Tool for Version Control Systems
2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR) - 2021
Citations Driven by Social Connections? A Multi-Layer Representation of Coauthorship Networks
Quantitative Science Studies - 2020
What is the Entropy of a Social Organization?
Entropy - 2019