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caviar — Caviar drug trafficking network (1994-1996)

Description

Directed networks of communication among participants in a drug importation network (hashish and cocaine) operating out of Montreal, Canada, targeted by Project Caviar, a joint investigation by the Montreal Police, the Royal Canadian Mounted Police and law-enforcement agencies of several other countries between 1994 and 1996. Instead of arresting participants, the investigation used a "seize and wait" strategy: 11 drug consignments were seized over two years, and arrests took place only at the end, making it possible to study the evolution of the network under disruption (Morselli and Petit, 2007).

The data come from evidence submitted during the trials of 22 participants, comprising 4279 paragraphs of transcripts of intercepted telephone conversations. Of the 318 individuals named in them, the 110 who took part in the trafficking operations are included. Nodes are participants (numbered in name, as in the source), and a directed edge indicates communication from one participant to another, with the edge property weight giving the level of communication activity. The networks phase1 to phase11 correspond to the 11 two-month phases of the investigation, and full aggregates all of them. Data reconstructed from the appendix of Morselli's book "Inside Criminal Networks" (2009) by the UCINET datasets collection (University of Manchester).1

  1. Description obtained in part from the UCINET datasets page. ↩

Tags
Social Communication Weighted Temporal
Citation
Upstream URL OK
https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/caviar
Networks
Tip: click on a column header to sort the list, or hover over it for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
phase1 15 26 1.73 3.90 2.09 2.94 -0.61 0.18 4 1.00 Directed Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB
phase2 24 35 1.46 4.70 2.06 4.28 -0.59 0.04 4 1.00 Directed Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB
phase3 33 68 2.06 6.18 4.45 2.91 -0.44 0.17 4 1.00 Directed Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB
phase4 33 65 1.97 5.56 3.66 4.26 -0.44 0.13 5 1.00 Directed Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB
phase5 32 50 1.56 5.02 2.74 5.41 -0.51 0.09 4 1.00 Directed Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB
phase6 27 68 2.52 6.46 4.71 3.73 -0.57 0.23 3 1.00 Directed Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB
phase7 37 64 1.73 5.45 3.70 5.05 -0.45 0.15 4 0.84 Directed Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB
phase8 42 75 1.79 5.26 3.83 10.39 -0.46 0.14 5 1.00 Directed Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB
phase9 34 60 1.76 4.09 3.26 7.90 -0.33 0.18 5 1.00 Directed Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB
phase10 42 68 1.62 4.09 2.91 5.13 -0.31 0.18 5 0.74 Directed Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB
phase11 41 72 1.76 3.67 2.51 49.33 -0.45 0.18 8 0.95 Directed Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB
full 110 295 2.68 10.51 7.93 5.68 -0.36 0.14 5 1.00 Directed Unipartite name weight 1 KiB 2 KiB 2 KiB 2 KiB