This bipartite network contains persons who appeared in at least one crime case as either a suspect, a victim, a witness or both a suspect and victim at the same time. A left node represents a person and a right node represents a crime. An edge between two nodes shows that the left node was involved in the crime represented by the right node.
Code | MC
| |
Internal name | moreno_crime
| |
Name | Crime | |
Data source | http://moreno.ss.uci.edu/data.html#crime | |
Availability | Dataset is available for download | |
Consistency check | Dataset passed all tests | |
Category | Interaction network | |
Node meaning | Person, crime | |
Edge meaning | Involvment | |
Network format | Bipartite, undirected | |
Edge type | Unweighted, no multiple edges |
Size | n = | 1,380 |
Left size | n_{1} = | 829 |
Right size | n_{2} = | 551 |
Volume | m = | 1,476 |
Wedge count | s = | 4,816 |
Claw count | z = | 12,667 |
Cross count | x = | 39,133 |
Square count | q = | 143 |
4-Tour count | T_{4} = | 23,424 |
Maximum degree | d_{max} = | 25 |
Maximum left degree | d_{1max} = | 25 |
Maximum right degree | d_{2max} = | 18 |
Average degree | d = | 2.139 13 |
Average left degree | d_{1} = | 1.780 46 |
Average right degree | d_{2} = | 2.678 77 |
Fill | p = | 0.003 231 32 |
Size of LCC | N = | 1,260 |
Diameter | δ = | 32 |
50-Percentile effective diameter | δ_{0.5} = | 12.851 7 |
90-Percentile effective diameter | δ_{0.9} = | 19.474 5 |
Median distance | δ_{M} = | 13 |
Mean distance | δ_{m} = | 13.368 7 |
Gini coefficient | G = | 0.403 524 |
Relative edge distribution entropy | H_{er} = | 0.956 503 |
Power law exponent | γ = | 3.008 15 |
Tail power law exponent | γ_{t} = | 3.901 00 |
Degree assortativity | ρ = | −0.183 074 |
Degree assortativity p-value | p_{ρ} = | 1.365 51 × 10^{−12} |
Spectral norm | α = | 5.586 85 |
Algebraic connectivity | a = | 0.001 541 74 |
[1] | Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ] |