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Closeness centralization measure for two-mode data of prescribed sizes

Published online by Cambridge University Press:  22 July 2016

MATJAŽ KRNC
Affiliation:
FAMNIT, University of Primorska, Koper, Slovenia (e-mail: [email protected])
JEAN-SÉBASTIEN SERENI
Affiliation:
CNRS (LORIA), Vandœuvre-lès-Nancy, France (e-mail: [email protected])
RISTE ŠKREKOVSKI
Affiliation:
Department of Mathematics, University of Ljubljana, and Faculty of information studies, Novo Mesto, and FAMNIT, University of Primorska, Koper, Slovenia (e-mail: [email protected])
ZELEALEM B. YILMA
Affiliation:
Carnegie Mellon University Qatar, Doha, Qatar (e-mail: [email protected])

Abstract

We confirm a conjecture by Everett et al. (2004) regarding the problem of maximizing closeness centralization in two-mode data, where the number of data of each type is fixed. Intuitively, our result states that among all networks obtainable via two-mode data, the largest closeness is achieved by simply locally maximizing the closeness of a node. Mathematically, our study concerns bipartite graphs with fixed size bipartitions, and we show that the extremal configuration is a rooted tree of depth 2, where neighbors of the root have an equal or almost equal number of children.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2016 

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