From: The effect of anti-money laundering policies: an empirical network analysis
Statistic | N | Mean | St. dev. | Min | Max |
---|---|---|---|---|---|
Node Count | 29,733 | 26.491 | 26.596 | 5 | 145 |
People Count | 29,733 | 12.552 | 10.953 | 0 | 56 |
Company Count | 29,733 | 13.939 | 18.882 | 0 | 91 |
Cluster Diameter | 29,733 | 4.500 | 1.806 | 2 | 10 |
Cluster Density | 29,733 | 0.305 | 0.263 | 0.025 | 1.900 |
Criminal Diversity | 9810 | 0.313 | 0.252 | 0.000 | 0.720 |
Criminal Dis-proportionality | 9810 | 0.493 | 0.130 | 0.238 | 0.645 |
Nationality Diversity | 29,733 | 0.359 | 0.166 | 0.000 | 0.720 |
Nationality Dis-proportionality | 29,733 | 0.208 | 0.138 | 0.000 | 0.464 |
Degree Assortativity | 29,733 | −0.479 | 0.310 | −1.000 | 0.499 |
Crime Assortativity | 4472 | −0.098 | 0.215 | −1.000 | 0.466 |
Nationality Assortativity | 26,637 | −0.119 | 0.349 | −1.000 | 0.783 |