I study legislative behavior and parliamentary networks. I am particularly interested in the temporal dynamics of political actors working together, for instance looking at how long it takes for a member of parliament to reciprocate a favor by a colleague. Furthermore, I study how political actors change their political positions over time and influence each other.
As a quantitative social scientist, I use Relational Event Models (REMs), Exponential Random Graph Models (ERGMs) and temporal variations thereof (so-called TERGMs or BTERGMs) and conventional regressions for my analyses.
Prior to starting at the Chair of Systems Design, a received a PhD in Political Science from the University of Bern and a Master’s degree in Sociology from the University of Bern.
Laurence's most recent publications
Why Online does not Equal Offline: Comparing Online and Real-World Political Support Among Politicians.
socarxiv - 2021
Quantifying Triadic Closure in Multi-Edge Social Networks
ACM - 2019
Predicting Network Events to Assess Goodness of Fit of Relational Event Models
Political Analysis - 2019