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Assembly effect of groups in online social networks

Author

Listed:
  • Fan, W.
  • Yeung, K.H.
  • Wong, K.Y.

Abstract

Due to the popularity and growth of online social networks, security in these networks becomes a critical problem. Previous works have proved that a virus can spread effectively in social networks. In this paper, groups in social networks are studied. We notice that groups on social network services sites can assemble people with similar characteristics, which may promote virus propagation in these networks. After our analysis, it is found that the use of groups can shorten the distance among users, and hence it would cause faster virus spread. We propose a virus propagation model and simulate it in a group network to show the assembly effect of groups. Our result shows that even with only one random attack, a virus can still spread rapidly, and the direct contact among group members is the reason for fast spreading.

Suggested Citation

  • Fan, W. & Yeung, K.H. & Wong, K.Y., 2013. "Assembly effect of groups in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1090-1099.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:5:p:1090-1099
    DOI: 10.1016/j.physa.2012.11.017
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    References listed on IDEAS

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    1. Fan, W. & Yeung, K.H., 2011. "Online social networks—Paradise of computer viruses," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 189-197.
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    Cited by:

    1. Fan, W. & Yeung, K.H., 2014. "Incorporating profile information in community detection for online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 226-234.
    2. Zhu, Hong-Miao & Zhang, Sheng-Tai & Jin, Zhen, 2016. "The effects of online social networks on tacit knowledge transmission," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 192-198.

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