Volume 8, Issue 4
Emergence of Community Structure in the Adaptive Social Networks

Long Guo & Xu Cai

Commun. Comput. Phys., 8 (2010), pp. 835-844.

Published online: 2010-08

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  • 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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@Article{CiCP-8-835, 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 = {

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.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.181009.161209a}, url = {http://global-sci.org/intro/article_detail/cicp/7597.html} }
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://dor.org/10.4208/cicp.181009.161209a UR - https://global-sci.org/intro/article_detail/cicp/7597.html KW - AB -

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.

Long Guo & Xu Cai. (2020). Emergence of Community Structure in the Adaptive Social Networks. Communications in Computational Physics. 8 (4). 835-844. doi:10.4208/cicp.181009.161209a
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