Mobile Guidance Model of Opportunity Network Node Based on Knowledge Graph

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Abstract

When guiding the movement of network nodes, due to the lack of comprehensive analysis of node attributes, the success rate of network information delivery is low. Therefore, an opportunity network node movement guidance model based on Knowledge graph is proposed. The Knowledge graph of opportunity network nodes including degree centrality, proximity centrality, PageRank algorithm and Structural holes is constructed; When building the mobile guidance model of opportunity network nodes, the optimal solution of the Knowledge graph is taken as the result of node mobile guidance. In the test results, when the proportion of abnormal nodes in the test network is within 10.0%, the success rate of information delivery remains stable at over 0.90.
基于知识图的机会网络节点移动引导模型
在引导网络节点的运动时,由于缺乏对节点属性的全面分析,导致网络信息传递的成功率较低。为此,提出了一种基于知识图的机会网络节点运动引导模型。构建了包含度中心性、接近中心性、PageRank算法和结构洞的机会网络节点知识图谱;在建立机会网络节点移动引导模型时,将知识图的最优解作为节点移动引导的结果。在测试结果中,当测试网络中异常节点的比例在10.0%以内时,信息传递成功率稳定在0.90以上。
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