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Beyond Social Fragmentation: Coexistence of Cultural Diversity and Structural Connectivity Is Possible with Social Constituent Diversity

  • Hiroki SayamaEmail author
  • Junichi Yamanoi
Conference paper
  • 57 Downloads
Part of the Springer Proceedings in Complexity book series (SPCOM)

Abstract

Social fragmentation caused by widening differences among constituents has recently become a highly relevant issue to our modern society. Theoretical models of social fragmentation using the adaptive network framework have been proposed and studied in earlier literature, which are known to either converge to a homogeneous, well-connected network or fragment into many disconnected subnetworks with distinct states. Here we introduced the diversities of behavioral attributes among social constituents and studied their effects on social network evolution. We investigated, using a networked agent-based simulation model, how the resulting network states and topologies would be affected when individual constituents’ cultural tolerance, cultural state change rate, and edge weight change rate were systematically diversified. The results showed that the diversity of cultural tolerance had the most direct effect to keep the cultural diversity within the society high and simultaneously reduce the average shortest path length of the social network, which was not previously reported in the earlier literature. Diversities of other behavioral attributes also had effects on final states of the social network, with some nonlinear interactions. Our results suggest that having a broad distribution of cultural tolerance levels within society can help promote the coexistence of cultural diversity and structural connectivity.

Keywords

Adaptive social networks Social fragmentation Cultural diversity Structural connectivity Constituent diversity 

Notes

Acknowledgements

This work was supported by JSPS KAKENHI Grant Number 19H04220.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Waseda Innovation LabWaseda UniversityTokyoJapan
  2. 2.Center for Collective Dynamics of Complex SystemsBinghamton University, State University of New YorkBinghamtonUSA

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