Wide social influence and the emergence of the unexpected: An empirical test using Spotify data
Sociological Science (2025)
Identifies theoretical conditions under which social influence generates unexpected collective outcomes.
Ethnic preferences, opportunity structures, and the school segregation process
European Sociological Review (2025)
Shows that ethnicity-related school preferences have relatively little impact on ethnic segregation because the schools that students choose among tend to have similar ethnic compositions.
On the intersection of analytical sociology and computational social science
Handbook of Computational Social Science (2025)
Proposes a way for bridging the explanatory principles of analytical sociology with the research designs of computational social science.
Estimating social influence using machine learning and digital trace data
The Oxford Handbook of the Sociology of Machine Learning (2024)
Reviews strategies for estimating social influence influence effects using modern, large-scale data together with machine learning.
Urban scaling laws arise from within-city inequalities
Nature Human Behaviour (2023)
Shows that a large fraction of observed between-city inequalities can be explained by the distributional 'tails' of large cities. Identifies a cumulative advantage mechanism that reproduces the key patterns.
The Trojan-horse mechanism: How networks reduce gender segregation
Science Advances (2021)
Identifies a mechanism which shows how network mobility sometimes can have desegregating effects.
Interpretable word embeddings via informative priors
EMNLP (2019)
Proposes a new method, using informative Bayesian priors, for creating domain-informed, interpretable word embedding dimensions.