Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1129146 | Social Networks | 2017 | 9 Pages |
•The structure of a heroin trafficking network is analyzed.•Similar topology to non-criminal collaboration networks.•Trafficking network exhibits dissortative degree mixing.•Graph sampling has been applied.•Vulnerability of network to targeted vertex removals is assessed.
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.