Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
CrimeLink explorer: using domain knowledge to facilitate automated crime association analysis
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
Analyzing Social Media Networks with NodeXL: Insights from a Connected World
Analyzing Social Media Networks with NodeXL: Insights from a Connected World
Node Removal in Criminal Networks
EISIC '11 Proceedings of the 2011 European Intelligence and Security Informatics Conference
Large Social Networks Can Be Targeted for Viral Marketing with Small Seed Sets
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
MANCaLog: a logic for multi-attribute network cascades
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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In this paper we introduce the Organization, Relationship, and Contact Analyzer (ORCA) that is designed to aide intelligence analysis for law enforcement operations against violent street gangs. ORCA is designed to address several police analytical needs concerning street gangs using new techniques in social network analysis. Specifically, it can determine "degree of membership" for individuals who do not admit to membership in a street gang, quickly identify sets of influential individuals (under the tipping model), and identify criminal ecosystems by decomposing gangs into sub-groups. We describe this software and the design decisions considered in building an intelligence analysis tool created specifically for countering violent street gangs as well as provide results based on conducting analysis on real-world police data provided by a major American metropolitan police department who is partnering with us and currently deploying this system for real-world use.