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The structure and vulnerability of a drug trafficking collaboration network
Institution:1. Institut d’Etudes Politiques de Paris, Centre de Sociologie des Organisations, 19 rue Amélie, 75007 Paris, France;2. Los Andes University, Bogotá, Colombia;3. CSO, Sciences Po, Paris, France;1. University College Dublin, School of Sociology, Ireland;2. Universite de Montreal, CICC, Canada;1. University of Illinois at Chicago, Loyola University Medical Center, Uptake Technologies, Inc., United States;2. School of Social Sciences, Singapore Management University, Singapore;1. California State University, Long Beach, 1250 Bellflower Blvd, LongBeach, CA, 90840, USA;2. Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada;3. University of Gent, St. Pietersnieuwstraat 33, 9000 Gent, Belgium;4. University of Amsterdam, PO Box 1030, 1012 CP, the Netherlands
Abstract:Prior research has established that collaboration networks exhibit heavy-tailed degree distributions, assortative degree mixing, and large clustering coefficients. Using court record data, we assess these properties in a collaboration network among heroin traffickers. Consistent with prior research, we find an exponential degree distribution and strong local clustering. However, the traffickers mix dissortatively by degree rather than assortatively. Using a graph sampling method, we show that a consequence of dissortative mixing is that targeted vertex removals have a greater impact on the connectivity and cohesion of the trafficking network. We also note the importance of degree mixing for characterizing and identifying topological weaknesses.
Keywords:Collaboration  Criminal network  Degree distribution  Assortativity  Vulnerability
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