图凸合并中的中间性中心性

Sunil Kumar Raghavan Unnithan, K. Balakrishnan
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引用次数: 2

摘要

在假定信息主要在一对节点之间的最短路径上流动的情况下,中间性中心性衡量节点控制网络通信的潜力或能力。从网络中移除具有最高中间度的节点将最严重地破坏其他节点之间的通信,因为它位于路径数量最多的节点上。一个大的网络可以被认为是通过不同的图运算在较小的网络之间的相互连接。因此,可以通过分析复合图的组成图来研究复合图的结构。本文给出了用合并或合并图操作构造的几类复合图的中间性中心性。
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Betweenness centrality in convex amalgamation of graphs
Betweenness centrality measures the potential or power of a node to control the communication over the network under the assumption that information flows primarily over the shortest paths between pair of nodes. The removal of a node with highest betweenness from the network will most disrupt communications between other nodes because it lies on the largest number of paths. A large network can be thought of as inter-connection between smaller networks by means of different graph operations. Thus the structure of a composite graph can be studied by analysing its component graphs. In this paper we present the betweenness centrality of some classes of composite graphs constructed by the graph operation called amalgamation or merging.
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
12
审稿时长
5 weeks
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