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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Spezzano, F. Subrahmanian, V.S. Mannes, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Public Policy, Univ. of Maryland, College Park, MD, USA (Mannes, A.) || Dept. of Comput. Sci., Univ. of Maryland, College Park, MD, USA (Subrahmanian, V.S.) || DIMES, Univ. della Calabria, Rende, Italy (Spezzano, F.) |
| Abstract | This paper focuses primarily on the Person Successor Problem (PSP): when a terrorist is removed from a terrorist network, who is most likely to take his place? We leverage the solution to PSP to predict a new terrorist network after removal of a set of terrorists and to answer the question: which set of k (k > 0) terrorists should be removed in order to minimize the lethality of the terrorist network? We propose a theoretical model to study these questions taking into account the fact that terrorists may have different individual capabilities. We develop an algorithm for PSP in which analysts can specify the conditions an individual needs to satisfy in order to replace another person. We test the correctness of our algorithm on a real-world partial network dataset for two terrorist groups: Al-Qaeda and Lashkar-e-Taiba where we have ground truth about who replaced who, as well as a synthetic dataset where experts estimate who replaced who. Building on the solution to PSP, we develop an algorithm to identify which set of k people to remove from a terrorist network to minimize the organization's efficiency (formalized as an objective function in some different ways). |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 348 |
| Ending Page | 355 |
| File Size | 243796 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450322409 |
| DOI | 10.1145/2492517.2492626 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-08-25 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | ACM and IEEE |
| Subject Keyword | Algorithm design and analysis Terrorism Social network services Conferences Organizations Educational institutions Bipartite graph |
| Content Type | Text |
| Resource Type | Article |
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