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Group centralization of network indices

机译:网络索引的组集中

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In social network analysis various centrality indices are introduced to quantify importance of nodes in networks. Group centrality indices, introduced in 1999 by Borgatti and Everett, measure the importance of groups of nodes in networks. While centrality measures compare the importance of different nodes within a graph, the associated notion of centralization, as introduced in 1979 by Freeman allows us to compare the relative importance of nodes within their respective graphs. In this paper, we study the notion of group centralization with respect to eccentricity, degree and betweenness centrality measures. For groups of size 2, we determine the maximum achieved value of group eccentricity and group betweenness centralization and describe the corresponding extremal graphs. For group degree centralization we do the same with arbitrary size of group. We conclude with posing few open problems. (C) 2015 Published by Elsevier B.V.
机译:在社交网络分析中,引入了各种集中度指标来量化网络中节点的重要性。由Borgatti和Everett于1999年引入的组中心性指标衡量网络中节点组的重要性。尽管中心度度量比较了图中不同节点的重要性,但Freeman于1979年引入的相关集中化概念使我们可以比较节点在其各自图中的相对重要性。在本文中,我们研究了关于偏心度,程度和中间度中心度度量的群体集中化概念。对于大小为2的组,我们确定组偏心率和组中间性集中的最大实现值,并描述相应的极值图。对于群组度集中,我们对任意大小的群组进行相同的处理。最后,我们提出一些未解决的问题。 (C)2015由Elsevier B.V.发布

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