Integrating Data Sources and Network Analysis Tools to Support the Fight Against Organized Crime

We discuss how methods from social network analysis could be combined with methodologies from database mediator technology and information fusion in order to give police and other civil security decision-makers the ability to achieve predictive situation awareness. Techniques based on these ideas have been demonstrated in the EU PASR project HiTS/ISAC.

[1]  Mark E. J. Newman.  A measure of betweenness centrality based on random walks , 2005, Soc. Networks.

[2]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[3]  Martin L. Kersten,et al.  Optimizing database architecture for the new bottleneck: memory access , 2000, The VLDB Journal.

[4]  Jonathan D. Pfautz,et al.  Applications of Bayesian Belief Networks in Social Network Analysis , 2006 .

[5]  Pontus Svenson,et al.  Complex networks : Models and dynamics , 2005 .

[6]  Mitesh Patel,et al.  Structured databases on the web: observations and implications , 2004, SGMD.

[7]  H. Milward,et al.  Dark Networks as Problems , 2003 .

[8]  Ángel Viña,et al.  The Denodo Data Integration Platform , 2002, VLDB.

[9]  Tore Risch,et al.  Mediator-Based Evolutionary Design and Development of Image Meta-Analysis Environments , 2001, Journal of Intelligent Information Systems.

[10]  P. Klerks.  The Network Paradigm Applied to Criminal Organisations: Theoretical nitpicking or a relevant doctrine for investigators? Recent developments in the Netherlands , 2001 .

[11]  Jeffrey Heer,et al.  prefuse: a toolkit for interactive information visualization , 2005, CHI.

[12]  Kathleen M. Carley.  Estimating Vulnerabilities in Large Covert Networks , 2004 .

[13]  Robert L. Popp,et al.  Countering Terrorism through Information and Privacy Protection Technologies , 2006, IEEE Security & Privacy.

[14]  Mark S. Ackerman,et al.  The Intellectual Challenge of CSCW: The Gap Between Social Requirements and Technical Feasibility , 2000, Hum. Comput. Interact..

[15]  M E J Newman,et al.  Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[16]  S. Redner.  Citation statistics from 110 years of physical review , 2005, physics/0506056.

[17]  Anders L. Madsen,et al.  Bayesian networks and influence diagrams , 2007 .

[18]  Petter Gottschalk.  Stages of knowledge management systems in police investigations , 2006, Knowl. Based Syst..

[19]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[20]  Destabilizing networks , 2002 .

[21]  M. Newman,et al.  Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  Design and Implementation of a Middleware for Data Analysis of Social Networks , 2007 .

[23]  Tim Bass,et al.  Intrusion detection systems and multisensor data fusion , 2000, CACM.