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Crime

About this network

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.

Network info

CodeMC
Category Interaction
Data source http://moreno.ss.uci.edu/data.html#crime
Vertex type Person, crime
Edge type Involvment
FormatBipartite: Edges connect two types of nodes Bipartite
Edge weightsUnweighted: Simple edges Unweighted
Metadata Entity metadata:  Nodes are annotated with metadata Entity
Size2,209 = 1,380 + 829 vertices (persons + crimes)
Volume1,476 edges (involvments)
Average degree (overall)2.1391 edges / vertex
Average person degree1.7805 edges / vertex
Average crime degree2.6788 edges / vertex
Fill0.0032313 edges / vertex2
Maximum degree25 edges
Wedge count4,816
Claw count12,667
Square count143
4-tour count23,424
Power law exponent (estimated) with dmin3.9010 (dmin = 7)
Gini coefficient40.4%
Relative edge distribution entropy95.7%
Assortativity–0.18307
Diameter32 edges
90-percentile effective diameter19.47 edges
Mean shortest path length13.37 edges
Spectral norm5.5869
Algebraic connectivity0.0015417
Person degree distribution of the Crime network
Person degree distribution
Crime degree distribution of the Crime network
Crime degree distribution
Person degree distribution of the Crime network
Person degree distribution
Crime degree distribution of the Crime network
Crime degree distribution
Left degree distribution of the Crime network
Left degree distribution
Right degree distribution of the Crime network
Right degree distribution
Degree distribution of the Crime network
Degree distribution
Person degree distribution of the Crime network
Person degree distribution
Crime degree distribution of the Crime network
Crime degree distribution
Distance distribution of the Crime network
Distance distribution
Distance distribution on a logistic scale of the Crime network
Distance distribution on a logistic scale
Top-k eigenvalues of L of the Crime network
Top-k eigenvalues of L
Spectral distribution of the eigenvalues of A of the Crime network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the Crime network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the Crime network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the Crime network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the Crime network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the Crime network
Cumulative spectral distribution of L
Eigenvectors of A of the Crime network
Eigenvectors of A
Eigenvectors of A (bipartite) of the Crime network
Eigenvectors of A (bipartite)
Eigenvectors of L of the Crime network
Eigenvectors of L

Layout

Layout of the Crime network
Layout

Downloads

TSV file:downloadmoreno_crime.tar.bz2 (11.36 KiB)
Extraction code:downloadmoreno.tar.bz2 (21.10 KiB)

References

[1] Crime network dataset -- KONECT, October 2016. [ http ]

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