Key player identification: a note on weighted connectivity games and the Shapley value

被引:1
|
作者
Lindelauf, Roy [1 ,2 ,3 ]
Blankers, Iris [2 ,3 ]
机构
[1] Netherlands Def Acad, Mil Operat Art & Sci, POB 90002, NL-4800 PA Breda, Netherlands
[2] Tilburg Univ, CentER, NL-5000 LE Tilburg, Netherlands
[3] Tilburg Univ, Dept Econometr & OR, NL-5000 LE Tilburg, Netherlands
关键词
D O I
10.1109/ASONAM.2010.33
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The use of graph theory in social network analysis to identify the most important actors is well-known. More recently game theory has also been applied to measure centrality as variation in the power due to the social structure. Here we present such a solution concept from cooperative game theory, the Shapley value, to identify key players engaged in a network. The communication structure among the players is modeled by use of the so-called connectivity game. We analyze standard networks representative of covert organizations and present results on the centrality of players organized according to an a-symmetric path structure. In addition we present an analysis of a weighted connectivity game in which the worth of coalitions not only depends on their interaction structure but also on exogenous factors.
引用
收藏
页码:356 / 359
页数:4
相关论文
共 50 条