TY - JOUR
T1 - Emergence of Community Structure in the Adaptive Social Networks
JO - Communications in Computational Physics
VL - 4
SP - 835
EP - 844
PY - 2010
DA - 2010/08
SN - 8
DO - http://doi.org/10.4208/cicp.181009.161209a
UR - https://global-sci.org/intro/article_detail/cicp/7597.html
KW - 
AB - <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>