A novel measure of centrality based on betweenness
Zhichao Song, Hongtao Duan, Yuanzheng Ge, Xiaogang Qiu
Abstract
Zhichao Song, Hongtao Duan, Yuanzheng Ge, Xiaogang Qiu
Abstract
The centrality of a node is a crucial indicator to understand how important this node is in a network, and several measures of centrality have been used to realize the identification. In this paper, we propose a new one named load centrality based on the betweenness changes caused by the removal of some nodes in the network. This measure of centrality combines the ideas: more important node is closer to others and more important node stands between more node pairs. By comparing with the other point centrality measures, the load centrality is validated further.
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The centrality of a node is a crucial indicator to understand how important this node is in a network, and several measures of centrality have been used to realize the identification. In this paper, we propose a new one named load centrality based on the betweenness changes caused by the removal of some nodes in the network. This measure of centrality combines the ideas: more important node is closer to others and more important node stands between more node pairs. By comparing with the other point centrality measures, the load centrality is validated further.
Key concepts: Betweenness centrality, Centrality, Node (physics), Katz centrality, Computer science, Network controllability, Measure (data warehouse), Identification (biology)