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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >Assembly effect of groups in online social networks
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Assembly effect of groups in online social networks

机译:网上社交网络中群体的集会效果

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摘要

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.
机译:由于在线社交网络的普及和增长,这些网络中的安全性成为关键问题。先前的工作证明,病毒可以在社交网络中有效传播。本文研究了社交网络中的群体。我们注意到,社交网络服务站点上的组可以聚集具有相似特征的人,这可能会促进病毒在这些网络中的传播。经过我们的分析,发现使用组可以缩短用户之间的距离,因此会导致更快的病毒传播。我们提出了一种病毒传播模型,并在组网络中对其进行仿真,以显示组的组装效果。我们的结果表明,即使仅进行一次随机攻击,病毒仍然可以快速传播,并且组成员之间的直接接触是快速传播的原因。

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