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Structural Centrality in Communications Networks

Bibliographic Data

ID19187357
AuthorsKenneth D Mackenzie (Carnegie Institution for Science, corresponding author)
Year1966
Volume31
Issue1
Pages17-25
Publication date1966-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePsychometrika (JOURNAL)
Journal identifiersISSN: 0033-3123 • E-ISSN: 1860-0980
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/bf02289453
OpenAlexW2054194302
LanguageEN
Citations received20
References cited4

This paper examines the concept of centrality with respect to small-group communication experiments. An index of centrality is presented which is based on the incidence matrix of actual communications rather than on the deviation matrix of possible communications, as in the Bavelas Index of Centrality. The index takes the value of zero for the homogeneous all-channel graph and the value of unity for the homogeneous wheel graph. The index can be computed for individuals as well as groups. Three examples are computed

Algorithm · Centrality · Combinatorics · Connectivity · Discrete mathematics · Distance matrix · Graph · Homogeneous · Incidence matrix · Index (typography) · Katz centrality · Matrix (chemical analysis) · Physics · Statistics · Topological index · Value (mathematics) · Complex Network Analysis Techniques · Computer Science · Cooperative Communication and Network Coding · Mathematics · Opinion Dynamics and Social Influence

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Unique citing works20
Citations per year0.33
Citation span1966 - 2017 (52)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 18

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