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| Modeling of Social Group Growth Based on Social Networks |
| YOU Zhiqiang1, GUAN Yuanpan1, HAN Xiaopu1, DENG Xiaofang2, LYU Linyuan1
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1. Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou 311121, China;
2. Software school, Jiangxi Normal University, Nanchang 330022, China |
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Abstract The structure of social group deeply influences the development and evolution of human society, but studies on this subject are relatively rare. Focusing on QQ friendship network, this paper proposes a percolation-like diffusion model which is based on users′ common interest to simulate and analyze the clustering behaviors of users and the growing process of social groups. Numerical simulation on the real QQ friendship network of Tencent shows that the statistical features generated by our model accord with the real empirical properties of the group network. It indicates that this mechanism is an important driven-factor for the growth of real social group. This work provides vital theoretical evidence for the further studies on the prediction of social group growth.
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Received: 16 October 2014
Published: 22 June 2026
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