Group mixing drives inequality in face-to-face gatherings
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Abstract (arXiv)
Uncovering how inequality emerges from human interaction is imperative for just societies. Here we show that the way social groups interact in face-to-face situations can enable the emergence of disparities in the visibility of social groups. These disparities translate into members of specific social groups having fewer social ties than the average (i.e., degree inequality). We characterize group degree inequality in sensor-based data sets and present a mechanism that explains these disparities as the result of group mixing and group-size imbalance. We investigate how group sizes affect this inequality, thereby uncovering the critical size and mixing conditions in that a critical minority group emerges. If a minority group is larger than this critical size, it can be a well-connected, cohesive group; if it is smaller, minority cohesion widens degree inequality. Finally, we expose the under-representation of individuals in degree rankings due to mixing dynamics and propose a way to reduce such biases.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Jun 2021.
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Citing papers per year: 2022: 2.
2 papers.
- 2022Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem20 Jun 2022
- 2022Minorities in networks and algorithms14 Jun 2022