Diversity in Valuing Social Contact and Risk Tolerance Lead to the Emergence of Homophily in Populations Facing Infectious Threats

TL;DR

This paper demonstrates how diversity in valuing social contact and risk tolerance can lead to the natural emergence of homophily in populations, especially relevant during infectious outbreaks, through a game theoretic model.

Contribution

It introduces a novel game theoretic framework showing that simple individual preferences can cause self-organizing homophily in social populations facing threats.

Findings

Diversity in social contact value and risk tolerance leads to homophily.

Emergent homophily is robust to external social influences.

Risk considerations can deepen social divisions during outbreaks.

Abstract

How self-organization leads to the emergence of structure in social populations remains a fascinating and open question in the study of complex systems. One frequently observed structure that emerges again and again across systems is that of self-similar community, i.e., homophily. We use a game theoretic perspective to explore a case in which individuals choose affiliation partnerships based on only two factors: the value they place on having social contacts, and their risk tolerance for exposure to threat derived from social contact (e.g., infectious disease, threatening ideas, etc.). We show how diversity along just these two influences are sufficient to cause the emergence of self-organizing homophily in the population. We further consider a case in which extrinsic social factors influence the desire to maintain particular social ties, and show the robustness of emergent homophilic patterns to these additional influences. These results demonstrate how observable population-level homophily may arise out of individual behaviors that balance the value of social contacts against the potential risks associated with those contacts. We present and discuss these results in the context of outbreaks of infectious disease in human populations. Complementing the standard narrative about how social division alters epidemiological risk, we here show how epidemiological risk may deepen social divisions in human populations.