Modeling and Simulating Terrorist Networks in Social and Geospatial Dimensions
A simple theoretical multiagent model reasons about the criticality of terrorists and regions as terrorist interactions coevolve in geographical and social spaces. Social and spatial relations evolve over time. Estimating their evolutions is important for management, command and control structures,...
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Veröffentlicht in: | IEEE intelligent systems 2007-09, Vol.22 (5), p.40-49 |
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description | A simple theoretical multiagent model reasons about the criticality of terrorists and regions as terrorist interactions coevolve in geographical and social spaces. Social and spatial relations evolve over time. Estimating their evolutions is important for management, command and control structures, and intelligence analysis research. By knowing future agent social and spatial distributions, an analyst can identify emergent leaders, hot spots, and organizational vulnerabilities. Historically, such estimations have depended heavily on qualitative data analyses by subject-matter experts. A few researchers approached the issue using multiagent models and simulation. The models addressed the complex nature of the organization and task assignments, resource distributions, or agent locations. The simulations addressed the near-term organizational changes. This research came from two perspectives: the effects of change in the social network and the effects of geospatial change. Both perspectives can project aspects of emerging organizational structure and future performance, but they can't examine the interaction between physical and social movements. |
doi_str_mv | 10.1109/MIS.2007.4338493 |
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Social and spatial relations evolve over time. Estimating their evolutions is important for management, command and control structures, and intelligence analysis research. By knowing future agent social and spatial distributions, an analyst can identify emergent leaders, hot spots, and organizational vulnerabilities. Historically, such estimations have depended heavily on qualitative data analyses by subject-matter experts. A few researchers approached the issue using multiagent models and simulation. The models addressed the complex nature of the organization and task assignments, resource distributions, or agent locations. The simulations addressed the near-term organizational changes. This research came from two perspectives: the effects of change in the social network and the effects of geospatial change. Both perspectives can project aspects of emerging organizational structure and future performance, but they can't examine the interaction between physical and social movements.</description><subject>Analytical models</subject><subject>coherence and coordination</subject><subject>Command and control systems</subject><subject>Computer architecture</subject><subject>Computer simulation</subject><subject>Data analysis</subject><subject>Data mining</subject><subject>Data visualization</subject><subject>distributed artificial intelligence</subject><subject>Evolution</subject><subject>Intelligent control</subject><subject>Intelligent structures</subject><subject>Moon</subject><subject>Movements</subject><subject>Multiagent systems</subject><subject>Networks</subject><subject>Organizational structure</subject><subject>Resource management</subject><subject>Social networks</subject><subject>Spatial distribution</subject><subject>Systems design</subject><subject>Tasks</subject><subject>Terrorism</subject><subject>Text analysis</subject><issn>1541-1672</issn><issn>1941-1294</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kTFPwzAQhS0EEqWwI7FEDIglxfa5jj2iAqVSW4aW2XITB7kkcbETIf49DgUGBqZ7p_vuTncPoXOCR4RgebOYrUYU42zEAASTcIAGRDKSEirZYdTjXvOMHqOTELYYU8BEDNBy4QpT2eYl0U2RrGzdVbrt07Xx3nkb2mRp2nfnX0Nim2TlcqurL3ZqXNhFNqZ3tjZNsK4Jp-io1FUwZ99xiJ4f7teTx3T-NJ1NbudpDoS3KQWNJZWZyHQpWQaFoFwT2ADjmw0TrCBUk4IRMS7BSKyBU5zpPBOC0wJoDkN0tZ-78-6tM6FVtQ25qSrdGNcFFQcRAhhH8PpfML6EAAPJevTyD7p1nW_iGSpu54yPpYgQ3kO5dyF4U6qdt7X2H4pg1RuhohGqN0J9GxFbLvYt1hjzi_9UPwGbJ4H2</recordid><startdate>200709</startdate><enddate>200709</enddate><creator>Il-Chul Moon</creator><creator>Carley, K.M.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Social and spatial relations evolve over time. Estimating their evolutions is important for management, command and control structures, and intelligence analysis research. By knowing future agent social and spatial distributions, an analyst can identify emergent leaders, hot spots, and organizational vulnerabilities. Historically, such estimations have depended heavily on qualitative data analyses by subject-matter experts. A few researchers approached the issue using multiagent models and simulation. The models addressed the complex nature of the organization and task assignments, resource distributions, or agent locations. The simulations addressed the near-term organizational changes. This research came from two perspectives: the effects of change in the social network and the effects of geospatial change. 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subjects | Analytical models coherence and coordination Command and control systems Computer architecture Computer simulation Data analysis Data mining Data visualization distributed artificial intelligence Evolution Intelligent control Intelligent structures Moon Movements Multiagent systems Networks Organizational structure Resource management Social networks Spatial distribution Systems design Tasks Terrorism Text analysis |
title | Modeling and Simulating Terrorist Networks in Social and Geospatial Dimensions |
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