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中国物理学会期刊

复杂网络中最小K-核节点的传播能力分析

CSTR: 32037.14.aps.62.108902

Analysis of the spreading influence of the nodes with minimum K-shell value in complex networks

CSTR: 32037.14.aps.62.108902
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  • K-核分解方法对于识别复杂网络传播动力学中最重要节点具有重要的价值, 然而该方法无法对复杂网络中大量最小K-核节点的传播能力进行准确度量. 本文主要考察最小K-核节点的传播行为, 利用其邻居的K-核信息, 提出一种度量这类节点传播能力的方法. 实证网络数据集的传播行为仿真结果表明, 该方法与度、介数等指标相比更能准确度量最小K-核节点的传播能力.

     

    The K-shell decomposition for identifying influential nodes plays an important role in analyzing the spreading performance in complex networks, which generates lots of nodes with the smallest K-shell value. The spreading influences of these nodes cannot be distinguished by the K-shell decomposition method, as well as the degree and betweeness indices. In this paper, by taking into account the K-shell information of the target node, we develop a new method to identify the node spreading ability with the minimum K-shell value. The experimental results for pretty good privacy and autonomous system networks show that the presented method could generate more accurate spreading list than the degree and betweeness indices.

     

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