一种时变的社区网络可信中心节点选取策略

发布时间：2018-03-21 16:06

本文选题：社区发现　切入点：信任关系　出处：《计算机工程》2016年05期 　论文类型：期刊论文

【摘要】：针对社区推荐系统研究中,当推荐节点发生信息流交互时缺乏信任可靠性与动态变化性的问题,融合社区发现中的中心节点和信任节点的推荐算法,提出一种随时序演变的受信任的中心节点推荐方法。该方法利用社区划分提取网络中心节点,并对节点增设信任机制,通过节点信任度控制谣言等不良信息的传播。加入反馈机制对可信节点进行实时更新,以提高信息传播的安全度,从而得到具有信任值动态反馈特性的中心节点选择策略。实验结果表明,与传统可信边社区划分策略相比,该策略能有效减少谣言等不良信息的传播,增强信息流传递可靠性。
[Abstract]:In order to solve the problem of lack of trust reliability and dynamic variability when recommendation node interacts with information flow in community recommendation system, the recommendation algorithm of central node and trust node in community discovery is fused. A trusted central node recommendation method is proposed, which can be used to extract the network central nodes by community division and add trust mechanism to the nodes. By controlling the spread of bad information such as rumors through the trust degree of nodes, and adding feedback mechanism to update trusted nodes in real time, to improve the security of information dissemination, The experimental results show that this strategy can effectively reduce the spread of bad information such as rumors and enhance the reliability of information flow compared with the traditional trusted edge community division strategy.
【作者单位】：石家庄铁道大学信息科学与技术学院;
【基金】：国家自然科学基金资助项目(61373160)
【分类号】：TP393.08;TP391.3

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