Reshaping Terrorist Networks.
The authors describe the Shaping Terrorist Organization Network Efficiency (STONE) software platform that they developed with the aim of destabilizing terrorist organizations. Topics discussed include STONE algorithms' identification of operatives in a terrorist network whose removal would have a ma...
| Publicado en: | Communications of the ACM Vol. 57; no. 8; pp. 60 - 70 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Association for Computing Machinery
Aug2014
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=97331007&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 97331007 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Aug2014 vid: 57 iid: 8 pid: 68 pub: Association for Computing Machinery artinfo: ui: 97331007 10.1145/2632661.2632664 ppf: 60 ppct: 10 formats: tig: atl: Reshaping Terrorist Networks. aug: au: SPEZZANO, FRANCESCA SUBRAHMANIAN, V. S. MANNES, AARON affil: Faculty research assistant, University of Maryland Institute for Advanced Computer Studies, College Park, MD Professor of computer science, University of Maryland, College Park, MD Director, Center for Digital International Government, University of Maryland, College Park, MD. Faculty research assistant, University of Maryland Institute for Advanced Computer Studies University of Maryland, College Park, MD su: Counterterrorism Terrorists Algorithms Terrorist organizations Computer software development Organizational behavior Computer software sug: subj: Counterterrorism Terrorists Algorithms Terrorist organizations Computer software development Organizational behavior Computer software ab: The authors describe the Shaping Terrorist Organization Network Efficiency (STONE) software platform that they developed with the aim of destabilizing terrorist organizations. Topics discussed include STONE algorithms' identification of operatives in a terrorist network whose removal would have a maximum detrimental effect on the organization, the ability to accurately predict who will replace a removed terrorist leader, and STONE's testing on data concerning real-life terrorist groups. Also addressed are the STONE algorithms called Terrorist Successor Problem, Multiple Terrorist Successor Problem, and Terrorist Network Reshaping Problem. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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