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A Matrix-Based Measure of Inter-Node Walk Relatedness in a Network

机译:网络中基于矩阵的节点间步行相关性度量

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摘要

For a pair of nodes in a network, a measure of walk relatedness is introduced. The measure is based on the total weight (number) of k-step walks connecting the pair, i.e., the corresponding entry of the kth power of the network matrix as k → ∞. The damping factor r~(-k) is used, where r is the largest eigenvalue of the network matrix. The measure turns out to be equal to the product of the pair's coreness values, i.e., the nodes' coordinates in the network matrix's right and left eigenvectors corresponding to r. The reduction of walk relatedness in a network caused by the removal of a node or link is investigated, i.e., the dependence of the reduction on the structural position (coreness) of the removed element. It is revealed that the "damage" can be measured by the drop in the value of r after the removal; to find this drop, the perturbation method is used. Some possible applications are indicated, and a numerical example with a large real network of 197 nodes and 780 links is considered.
机译:对于网络中的一对节点,引入了步行相关性的度量。该度量基于连接该对的k步步行的总重量(数量),即,网络矩阵的k次幂的相应项为k→∞。使用阻尼因子r〜(-k),其中r是网络矩阵的最大特征值。测得的结果等于该对核心值的乘积,即对应于r的网络矩阵左右特征向量中的节点坐标。研究了由于节点或链路的去除而导致的网络中步行相关性的降低,即,降低的依赖性对所去除的元素的结构位置(核心性)的依赖性。结果表明,“损伤”可以通过去除后r值的下降来衡量。为了找到这个液滴,使用了摄动法。指出了一些可能的应用,并考虑了一个具有197个节点和780个链接的大型实际网络的数值示例。

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