Computational Analysis of Connectivity Games with Applications to the Investigation of Terrorist Networks
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 293-300.
Abstract
We study a recently developed centrality metric to identify key players in terrorist organisations due to Lindelauf et al. [2011]. This metric, which involves computation of the Shapley value for connectivity games on graphs proposed by Amer and Gimenez [2004], was shown to produce substantially better results than previously used standard centralities. In this paper, we present the first computational analysis of this class of coalitional games, and propose two algorithms for computing Lindelauf et al.'s centrality metric. Our first algorithm is exact, and runs in time linear by number of connected subgraphs in the network. As shown in the numerical simulations, our algorithm identifies key players in the WTC 9/11 terrorist network, constructed of 36 members and 125 links, in less than 40 minutes. In contrast, a general-purpose Shapley value algorithm would require weeks to solve this problem. Our second algorithm is approximate and can be used to study much larger networks.
@inproceedings{ijcai2013p52,
title = {Computational Analysis of Connectivity Games with Applications to the Investigation of Terrorist Networks},
author = {Michalak, Tomasz P. and Rahwan, Talal and Szczepanski, Piotr L. and Skibski, Oskar and Narayanam, Ramasuri and Jennings, Nicholas R. and Wooldridge, Michael J.},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {293--300},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/52},
}
TY - CPAPER TI - Computational Analysis of Connectivity Games with Applications to the Investigation of Terrorist Networks AU - Michalak, Tomasz P. AU - Rahwan, Talal AU - Szczepanski, Piotr L. AU - Skibski, Oskar AU - Narayanam, Ramasuri AU - Jennings, Nicholas R. AU - Wooldridge, Michael J. T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 293 EP - 300 UR - https://ijcai.org/proceedings/2013/52 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: