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RESEARCH OF COMMUNITY MINING IN SIGNED SOCIAL NETWORK BASED ON GAME THEORY

机译:基于游戏理论的签名社交网络社区挖掘研究

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摘要

According to the characteristics of signed social networks with the attributes of links and nodes' signed, this paper proposed a new effective method of signed network community partition (SNP) based on game theory. Firstly, the transition probability matrix P is established based on the impact of signed attribute (positiveegative link) on the community structure, and the tightness between the node matrix R~L within L-step is calculated through the P, based on the random walk. Secondly, the community center nodes are selected, taking into account the signs and the density properties. Then, the community members with the central nodes are determined based on the maximum average value of the community. Finally, the correctness and effectiveness of the algorithm are checked through the experiments.
机译:针对具有链接和节点签名属性的签名社交网络的特点,提出了一种基于博弈论的签名网络社区划分新有效方法。首先,基于有符号属性(正/负链接)对社区结构的影响,建立转移概率矩阵P,并基于P,通过P计算节点L〜L节点矩阵之间的紧密度。随机漫步。其次,选择社区中心节点,同时考虑符号和密度属性。然后,根据社区的最大平均值确定具有中心节点的社区成员。最后,通过实验验证了算法的正确性和有效性。

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    Qian'an College Hebei United University No. 5096, Yanshan Road, Qian'an 064000, P. R. China,College of Information Science and Engineering Yanshan University No. 438, Hebei Avenue, Qinhuangdao 066004, P. R. China;

    Qian'an College Hebei United University No. 5096, Yanshan Road, Qian'an 064000, P. R. China;

    Qian'an College Hebei United University No. 5096, Yanshan Road, Qian'an 064000, P. R. China;

    College of Information Science and Engineering Yanshan University No. 438, Hebei Avenue, Qinhuangdao 066004, P. R. China;

    Qian'an College Hebei United University No. 5096, Yanshan Road, Qian'an 064000, P. R. China;

    Qian'an College Hebei United University No. 5096, Yanshan Road, Qian'an 064000, P. R. China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Signed social network; Random walk; Game theory; Community mining;

    机译:签署社交网络;随机漫步;博弈论;社区采矿;

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