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Core-Based Dynamic Community Detection in Mobile Social Networks

机译:移动社交网络中基于核心的动态社区检测

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The topic of community detection in social networks has attracted a lot of attention in recent years. Existing methods always depict the relationship of two nodes using the snapshot of the network, but these snapshots cannot reveal the real relationships, especially when the connection history among nodes is considered. The problem of detecting the stable community in mobile social networks has been studied in this paper. Community cores are considered as stable subsets of the network in previous work. Based on these observations, this paper divides all nodes into a few of communities due to the community cores. Meanwhile, communities can be tracked through incremental computing. Experimental results based on real-world social networks demonstrate that our proposed method performs better than the well-known static community detection algorithm in mobile social networks.
机译:近年来,社交网络中的社区检测主题引起了很多关注。现有方法总是使用网络快照来描述两个节点的关系,但是这些快照无法揭示真实的关系,尤其是在考虑节点之间的连接历史记录时。本文研究了在移动社交网络中检测稳定社区的问题。在以前的工作中,社区核心被视为网络的稳定子集。基于这些观察,由于社区核心,本文将所有节点划分为几个社区。同时,可以通过增量计算来跟踪社区。基于真实世界的社交网络的实验结果表明,我们提出的方法在移动社交网络中的性能优于众所周知的静态社区检测算法。

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