U.S. Social Fragmentation at Multiple Scales
Leila Hedayatifar, Rachel A. Rigg, Yaneer Bar-Yam, Alfredo J., Morales

TL;DR
This paper investigates the multi-scale social fragmentation in the U.S. by analyzing geo-located social media data, revealing geographically bounded social patches that mirror offline divisions and are reinforced through online interactions.
Contribution
It introduces a multi-scale analysis of social fragmentation using social media data and proposes a network growth model explaining patch emergence based on geographical and preferential attachment mechanisms.
Findings
Identifies geographically bounded social patches at multiple scales.
Shows virtual social borders mirror offline divisions.
Proposes a network growth model explaining patch formation.
Abstract
Despite global connectivity, societies seem to be increasingly polarized and fragmented. This phenomenon is rooted in the underlying complex structure and dynamics of social systems. Far from homogeneously mixing or adopting conforming views, individuals self-organize into groups at multiple scales, ranging from families up to cities and cultures. In this paper, we study the fragmented structure of the American society using mobility and communication networks obtained from geo-located social media data. We find self-organized patches with clear geographical borders that are consistent between physical and virtual spaces. The patches have multi-scale structure ranging from parts of a city up to the entire nation. Their significance is reflected in distinct patterns of collective interests and conversations. Finally, we explain the patch emergence by a model of network growth that…
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