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Katz centrality

About: Katz centrality is a research topic. Over the lifetime, 601 publications have been published within this topic receiving 77858 citations.


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01 Jan 2012
TL;DR: New alternative eigenvector centrality measures for tracking community are evaluated and are found to be more suitable compared to betweennesscentrality measures algorithm.
Abstract: Network centrality is used to identify the most important/active people at the center of a network or those that are well connected. The tracking of single community in social networks is commonly done using some of the centrality measures employed in social network .The betweenness centrality measures has been used in SCAN (Social Cohesion Analysis of Network) method to track communities in social networks. This paper evaluates new alternative eigenvector centrality measures for tracking community and is more suitable compared to betweenness centrality measures algorithm.
Posted Content
TL;DR: In this paper, the authors propose an axiom system for four classic feedback centralities: Eigenvector centrality, Katz centrality and PageRank, and prove that each of these four centrality measures can be uniquely characterized with a subset of their axioms.
Abstract: In recent years, the axiomatic approach to centrality measures has attracted attention in the literature. However, most papers propose a collection of axioms dedicated to one or two considered centrality measures. In result, it is hard to capture the differences and similarities between various measures. In this paper, we propose an axiom system for four classic feedback centralities: Eigenvector centrality, Katz centrality, Katz prestige and PageRank. We prove that each of these four centrality measures can be uniquely characterized with a subset of our axioms. Our system is the first one in the literature that considers all four feedback centralities.

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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202318
202232
202114
202013
201919
201824