Disentangling Active and Passive Cosponsorship in the U.S. Congress

no code implementations • 19 May 2022 • Giuseppe Russo, Christoph Gote, Laurence Brandenberger, Sophia Schlosser, Frank Schweitzer

These representations predict active and passive cosponsorship with an F1-score of 0. 88.

Predicting Influential Higher-Order Patterns in Temporal Network Data

no code implementations • 26 Jul 2021 • Christoph Gote, Vincenzo Perri, Ingo Scholtes

We compare MOGen-based centralities to equivalent measures for network models and path data in a prediction experiment where we aim to identify influential nodes in out-of-sample data.

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

no code implementations • 13 Jul 2020 • Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes

We propose a novel sequence prediction method for sequential data capturing node traversals in graphs.

git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories

1 code implementation • 25 Mar 2019 • Christoph Gote, Ingo Scholtes, Frank Schweitzer

Data from software repositories have become an important foundation for the empirical study of software engineering processes.

Software Engineering