2015•Unpublished venueRequires access

A novel measure of centrality based on betweenness

Zhichao Song, Hongtao Duan, Yuanzheng Ge, Xiaogang Qiu

Open publisher page 7 citations

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.

About this research paper

What this paper is about

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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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Betweenness centrality, Centrality, Node (physics), Katz centrality, Computer science, Network controllability, Measure (data warehouse), Identification (biology)

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