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2017•Unpublished venueOpen access

Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network

Junlong Zhang, Yu Luo

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Abstract

Social network theory is becoming more and more significant in social science, and the centrality measure is underlying this burgeoning theory.In perspective of social network, individuals, organizations, companies etc. are like nodes in the network, and centrality is used to measure these nodes' power, activity, communication convenience and so on.Meanwhile, degree centrality, betweenness centrality and closeness centrality are the popular detailed measurements.This paper presents these 3 centrality in-depth, from principle to algorithm, and prospect good in the future use.

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What this paper is about

Social network theory is becoming more and more significant in social science, and the centrality measure is underlying this burgeoning theory.In perspective of social network, individuals, organizations, companies etc. are like nodes in the network, and centrality is used to measure these nodes' power, activity, communication convenience and so on.Meanwhile, degree centrality, betweenness centrality and closeness centrality are the popular detailed measurements.This paper presents these 3 centrality in-depth, from principle to algorithm, and prospect good in the future use.

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Available abstract

Social network theory is becoming more and more significant in social science, and the centrality measure is underlying this burgeoning theory.In perspective of social network, individuals, organizations, companies etc. are like nodes in the network, and centrality is used to measure these nodes' power, activity, communication convenience and so on.Meanwhile, degree centrality, betweenness centrality and closeness centrality are the popular detailed measurements.This paper presents these 3 centrality in-depth, from principle to algorithm, and prospect good in the future use.

Key concepts: Betweenness centrality, Centrality, Katz centrality, Closeness, Network controllability, Degree (music), Network theory, Computer science

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