DocumentCode :
51311
Title :
Defeating Terrorist Networks with Game Theory
Author :
Michalak, Tomasz P. ; Rahwan, Talal ; Skibski, Oskar ; Wooldridge, Michael
Volume :
30
Issue :
1
fYear :
2015
fDate :
Jan.-Feb. 2015
Firstpage :
53
Lastpage :
61
Abstract :
This column discusses the problem of identifying key members of a terrorist network. Game-theoretic centrality measures offer solutions but also raise computational challenges. The authors present a survey of this work and show how some of the computational challenges can be overcome.
Keywords :
game theory; terrorism; game-theoretic centrality measures; terrorist network; Game theory; Statistical analysis; Terrorism; Weapons; 9/11; Myerson value; Shapley value; betweenness; centrality measures; closeness; cooperative game theory; degree; game-theoretic centrality; terrorist network;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2015.11
Filename :
7030270
Link To Document :
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