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Explaining social events through community evolution on temporal networks

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  • Li, Huichun
  • Zhang, Xue
  • Zhao, Chengli

Abstract

The social network is closely related to people’s lives. And social events are the products of the human subjective initiative during the evolution of networks. Therefore, there is a close correlation between social events and network evolution. This paper studies the characteristics of network evolution corresponding to social events from the perspective of temporal networks. The change point detection method is applied to capture the “shocks” of social events on the network structure. Then, the patterns of structural changes are analyzed based on the theory of community evolution. Experiments on two cases illustrate that social events are significant milestones to promote the development of social networks. And the mesostructure is the intermediary connecting evolving network and social events.

Suggested Citation

  • Li, Huichun & Zhang, Xue & Zhao, Chengli, 2021. "Explaining social events through community evolution on temporal networks," Applied Mathematics and Computation, Elsevier, vol. 404(C).
    • Handle: RePEc:eee:apmaco:v:404:y:2021:i:c:s009630032100196x
    DOI: 10.1016/j.amc.2021.126148
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    Cited by:

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    2. Ting Wang & Yu Jiang & Jianye Yang & Lei Xing, 2023. "Edge-Based Minimal k -Core Subgraph Search," Mathematics, MDPI, vol. 11(15), pages 1-17, August.
    3. Li, Xianghua & Zhen, Xiyuan & Qi, Xin & Han, Huichun & Zhang, Long & Han, Zhen, 2023. "Dynamic community detection based on graph convolutional networks and contrastive learning," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
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    5. Koopo Kwon & Jaeryong So, 2023. "Future Smart Logistics Technology Based on Patent Analysis Using Temporal Network," Sustainability, MDPI, vol. 15(10), pages 1-17, May.

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