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arXiv · 1306.3738

A coevolving model based on preferential triadic closure for social media networks

Menghui Li·Hailin Zou·Shuguang Guan·Xiaofeng Gong·Kun Li·Zengru Di·Choy-Heng Lai
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Abstract

The dynamical origin of complex networks, i.e., the underlying principles governing network evolution, is a crucial issue in network study. In this paper, by carrying out analysis to the temporal data of Flickr and Epinions--two typical social media networks, we found that the dynamical pattern in neighborhood, especially the formation of triadic links, plays a dominant role in the evolution of networks. We thus proposed a coevolving dynamical model for such networks, in which the evolution is only driven by the local dynamics--the preferential triadic closure. Numerical experiments verified that the model can reproduce global properties which are qualitatively consistent with the empirical observations.

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Menghui Li, Hailin Zou, Shuguang Guan, Xiaofeng Gong, Kun Li, Zengru Di, Choy-Heng Lai. 2013-06-17. A coevolving model based on preferential triadic closure for social media networks. https://doi.org/10.1038/srep02512

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