london_gang — London street gang (2005-2009)

Description

Network of co-offending among the 54 confirmed members of an inner-city street gang in London, United Kingdom, operating from a social housing estate between 2005 and 2009, reconstructed from anonymised police arrest and conviction data (Grund and Densley, 2012, 2015). Nodes are gang members, and edges connect members who were observed together, with the edge property weight giving the level of the relationship: 1 = hang out together, 2 = co-offend together, 3 = co-offend together, serious crime, 4 = co-offend together, serious crime, kin.

Vertex properties: age; birthplace (1 = West Africa, 2 = Caribbean, 3 = United Kingdom, 4 = East Africa); arrests and convictions (numbers); residence, prison and music (binary indicators, whose exact definitions are not documented by the source); and ranking (an integer rank within the gang, as given by the source). Data distributed by the UCINET datasets collection (University of Manchester).¹

Description obtained in part from the UCINET datasets page. ↩

Tags

Social Offline Weighted Metadata

Citation

T. Grund and J. Densley, "Ethnic homophily and triad closure: Mapping internal gang structure using exponential random graph models." Journal of Contemporary Criminal Justice 31(3), 354-370 (2015) 10.1177/1043986214553377 Sci-Hub
T. Grund and J. Densley, "Ethnic heterogeneity in the activity and structure of a Black street gang." European Journal of Criminology 9(4), 388-406 (2012) 10.1177/1477370812447738 Sci-Hub

Upstream URL OK

https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/london-gang

Networks

Tip: hover over a column header 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
london_gang	54	315	11.67	7.71	15.83	2.74	0.02	0.52	4	1.00	Undirected	Unipartite	name age birthplace residence arrests convictions prison music ranking	weight	1 KiB	3 KiB	2 KiB	2 KiB