Title
Game-Theoretic Centrality Measures for Weighted Graphs.
Abstract
The betweenness centrality is one of the basic concepts in the analysis of the social networks. Initial definition for the betweenness of a node in the graph is based on the fraction of the number of geodesics (shortest paths) between any two nodes that given node lies on, to the total number of the shortest paths connecting these nodes. This method has polynomial complexity. We propose a new concept of the betweenness centrality for weighted graphs using the methods of cooperative game theory. The characteristic function is determined by special way for different coalitions (subsets of the graph). Two approaches are used to determine the characteristic function. In the first approach the characteristic function is determined via the number of direct and indirect weighted connecting paths in the coalition. In the second approach the coalition is considered as an electric network and the characteristic function is determined as a total current in this network. We use the Kirchhoff's law. After that the betweenness centrality is determined as the Myerson value. The results of computer simulations for some examples of networks, in particular, for the popular social network "VKontakte", as well as the comparing with the PageRank method are presented.
Year
DOI
Venue
2016
10.3233/FI-2016-1364
FUNDAMENTA INFORMATICAE
Keywords
Field
DocType
betweenness centrality,weighted graph,cooperative game,social networks
Network science,PageRank,Discrete mathematics,Combinatorics,Random walk closeness centrality,Network controllability,Centrality,Betweenness centrality,Network theory,Katz centrality,Mathematics
Journal
Volume
Issue
ISSN
145
3
0169-2968
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Vladimir V. Mazalov120821.09
Konstantin Avrachenkov21250126.17
L. I. Trukhina300.34
Bulat T. Tsynguev400.34