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Emergence of Community Structure in the Adaptive Social Networks

Emergence of Community Structure in the Adaptive Social Networks
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Year:    2010

Communications in Computational Physics, Vol. 8 (2010), Iss. 4 : pp. 835–844

Abstract

In this paper, we propose a simple model of opinion dynamics to construct social networks, based on the algorithm of link rewiring of local attachment (RLA) and global attachment (RGA). Generality, the system does reach a steady state where all individuals' opinion and the complex network structure are fixed. The RGA enhances the ability of consensus of opinion formation. Furthermore, by tuning a model parameter p, which governs the proportion of RLA and RGA, we find the formation of hierarchical structure in the social networks for p > pc. Here, pc is related to the complex network size N and the minimal coordination number 2K. The model also reproduces many features of large social networks, including the "weak links" property.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.181009.161209a

Communications in Computational Physics, Vol. 8 (2010), Iss. 4 : pp. 835–844

Published online:    2010-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    10

Keywords:   

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