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Networks of agglomeration: how population density rewires social networks and reshapes contagion dynamics
arXiv Physics
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이 매체는 공공·자유 라이선스로 본문을 직접 표시합니다.Physics > Physics and Society
[Submitted on 17 Jun 2026]
Title:Networks of agglomeration: how population density rewires social networks and reshapes contagion dynamics
View PDF HTML (experimental)Abstract:From ancient Mesopotamia to modern cities, dense human settlements coincide with bursts of economic productivity, cultural innovation, and social change. But how does packing people more tightly together alter social organization in ways that reshape collective outcomes? Here, I use a minimal agent-based model to isolate the effect of population density, holding population size and individual behavior fixed while varying only how closely individuals are placed in space. In the model, individuals form social ties gradually, favoring those nearby and those already well-connected. Under these simple rules, varying population density alone is sufficient to reorganize social network structure: sparse populations develop locally clustered communities, while denser ones form globally integrated networks with shorter social distances and a tightly interconnected core of popular individuals. This structural transition occurs sharply over a narrow range of densities and is governed by whether physical proximity or social popularity dominates tie formation. Simulating contagions on these networks reveals that the consequences of this shift depend on what is spreading. Simple contagions (e.g., information or disease) reach a majority of individuals more quickly in denser populations. Complex contagions (e.g., social norms or collective behaviors) do not spread faster, but instead achieve broader and more reliable adoption as density increases. Together, these results show that population density can act as a structural force independent of the economic and behavioral mechanisms typically invoked to explain why cities are engines of change.
Submission history
From: Christopher Tokita [view email][v1] Wed, 17 Jun 2026 18:25:59 UTC (4,477 KB)
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