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

Long Guo & Xu Cai

DOI: 10.4208/cicp.181009.161209a

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 = {Long Guo and Xu Cai}, 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 AU - Long Guo & Xu Cai 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 -

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 and Xu Cai. (2010). 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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