A measure of centrality based on the network efficiency
Vito Latora, Massimo Marchiori

TL;DR
This paper proposes a new centrality measure, information centrality C^I, which assesses node importance based on information propagation efficiency, applicable to various types of networks and groups.
Contribution
The paper introduces the information centrality C^I, a novel measure that extends centrality analysis to valued and non-valued graphs, including groups and classes.
Findings
C^I effectively captures node importance based on information flow
Comparison shows C^I provides different insights than traditional measures
Illustrated using a classic network dataset
Abstract
We introduce a new measure of centrality, the information centrality C^I, based on the concept of efficient propagation of information over the network. C^I is defined for both valued and non-valued graphs, and applies to groups and classes as well as individuals. The new measure is illustrated and compared to the standard centrality measures by using a classic network data set.
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Game Theory and Applications
