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A last updating evolution model for online social networks

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  • Bu, Zhan
  • Xia, Zhengyou
  • Wang, Jiandong
  • Zhang, Chengcui

Abstract

As information technology has advanced, people are turning to electronic media more frequently for communication, and social relationships are increasingly found on online channels. However, there is very limited knowledge about the actual evolution of the online social networks. In this paper, we propose and study a novel evolution network model with the new concept of “last updating time”, which exists in many real-life online social networks. The last updating evolution network model can maintain the robustness of scale-free networks and can improve the network reliance against intentional attacks. What is more, we also found that it has the “small-world effect”, which is the inherent property of most social networks. Simulation experiment based on this model show that the results and the real-life data are consistent, which means that our model is valid.

Suggested Citation

  • Bu, Zhan & Xia, Zhengyou & Wang, Jiandong & Zhang, Chengcui, 2013. "A last updating evolution model for online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2240-2247.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:9:p:2240-2247
    DOI: 10.1016/j.physa.2013.01.006
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    References listed on IDEAS

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    3. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 1999. "Mean-field theory for scale-free random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 272(1), pages 173-187.
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    Cited by:

    1. Zhan Bu & Chengcui Zhang & Zhengyou Xia & Jiandong Wang, 2014. "An FAR-SW based approach for webpage information extraction," Information Systems Frontiers, Springer, vol. 16(5), pages 771-785, November.
    2. Yuan, Wei-Guo & Liu, Yun, 2015. "A mixing evolution model for bidirectional microblog user networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 167-179.
    3. Weiwei Yan & Xin Wen & Yin Zhang & Sonali Kudva & Qian Liu, 2023. "The dynamics of Q&A in academic social networking sites: insights from participants, interaction network, response time, and discipline differences," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1895-1922, March.
    4. Sun, Xin & Dong, Junyu & Tang, Ruichun & Xu, Mantao & Qi, Lin & Cai, Yang, 2015. "Topological evolution of virtual social networks by modeling social activities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 259-267.

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