In our research, we address various issues pertaining to the broader topic of data science. We are particularly interested in the development of methods for the study of large relational datasets, complex systems analysis, and collections of time-stamped interactions from various disciplines.

The methods highlighted here range from network science tools, data scraping and inference, and disambiguation.

Related Publications

A network approach to expertise retrieval based on path similarity and credit allocation

Journal of Economic Interaction and Coordination - 2021

Xiancheng Li, Luca Verginer, Massimo Riccaboni and P. Panzarasa

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

The likelihood-ratio test for multi-edge network models

J. Phys. Complex. 2 035012 - 2021

Giona Casiraghi

Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders

arXiv preprint arXiv:2007.06662 - 2020

Christoph Gote, Giona Casiraghi, Frank Schweitzer and Ingo Scholtes

HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks

Proceedings of the 2020 SIAM International Conference on Data Mining - 2020

Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi - Rad and Frank Schweitzer

A Gaussian Process-based Self-Organizing Incremental Neural Network

2019 International Joint Conference on Neural Networks (IJCNN) - 2019

X. Wang, Giona Casiraghi, Yan Zhang and J. Imura

Quantifying Triadic Closure in Multi-Edge Social Networks

ACM - 2019

Laurence Brandenberger, Giona Casiraghi, Vahan Nanumyan 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

Frank Schweitzer, Christoph Gote and Ingo Scholtes

From Relational Data to Graphs: Inferring Significant Links Using Generalized Hypergeometric Ensembles

Social Informatics: 9th International Conference, SocInfo 2017, Oxford, UK, September 13-15, 2017, Proceedings, Part II - 2017

Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes and Frank Schweitzer

Multiplex Network Regression: How do relations drive interactions?

arXiv e-print - 2017

Giona Casiraghi