@Article{CiCP-8-4,
author = {},
title = {Emergence of Community Structure in the Adaptive Social Networks},
journal = {Communications in Computational Physics},
year = {2010},
volume = {8},
number = {4},
pages = {835--844},
abstract = {<p style="text-align: justify;">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&#39; 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 &gt; p<sub>c</sub>. Here, p<sub>c</sub> 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 &quot;weak links&quot; property.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.181009.161209a},
url = {https://global-sci.com/article/81054/emergence-of-community-structure-in-the-adaptive-social-networks}
}