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Measuring UK crime gangs: a social network problem

Giles Oatley, Tom Crick Orcid Logo

Social Network Analysis and Mining, Volume: 5, Issue: 1

Swansea University Author: Tom Crick Orcid Logo

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DOI (Published version): 10.1007/s13278-015-0265-1

Abstract

This paper describes the output of a study to tackle the problem of gang-related crime in the UK; we present the intelligence and routinely-gathered data available to a UK regional police force, and describe an initial social network analysis of gangs in the Greater Manchester area of the UK between...

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Published in: Social Network Analysis and Mining
ISSN: 1869-5450 1869-5469
Published: Springer 2015
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URI: https://cronfa.swan.ac.uk/Record/cronfa43380
first_indexed 2018-08-14T15:01:05Z
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spelling 2020-10-21T11:59:39.5494694 v2 43380 2018-08-14 Measuring UK crime gangs: a social network problem 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 2018-08-14 SOSS This paper describes the output of a study to tackle the problem of gang-related crime in the UK; we present the intelligence and routinely-gathered data available to a UK regional police force, and describe an initial social network analysis of gangs in the Greater Manchester area of the UK between 2000 and 2006. By applying social network analysis techniques, we attempt to detect the birth of two new gangs based on local features (modularity, cliques) and global features (clustering coefficients). Thus for the future, identifying the changes in these can help us identify the possible birth of new gangs (sub-networks) in the social system. Furthermore, we study the dynamics of these networks globally and locally, and have identified the global characteristics that tell us that they are not random graphs—they are small world graphs—implying that the formation of gangs is not a random event. However, we are not yet able to conclude anything significant about scale-free characteristics due to insufficient sample size. A final analysis looks at gang roles and develops further insight into the nature of the different link types, referring to Klerks' 'third generation' analysis, as well as a brief discussion of the potential UK policy applications of this work. Journal Article Social Network Analysis and Mining 5 1 Springer 1869-5450 1869-5469 Gangs, Gun crime, Scale-free networks, Small-world networks, Social distance, Communities, Crime policy 31 12 2015 2015-12-31 10.1007/s13278-015-0265-1 COLLEGE NANME Social Sciences School COLLEGE CODE SOSS Swansea University 2020-10-21T11:59:39.5494694 2018-08-14T15:44:55.4294279 Faculty of Humanities and Social Sciences School of Social Sciences - Education and Childhood Studies Giles Oatley 1 Tom Crick 0000-0001-5196-9389 2 0043380-29082018195156.pdf snam2015.pdf 2018-08-29T19:51:56.3200000 Output 2220538 application/pdf Accepted Manuscript true 2018-08-29T00:00:00.0000000 true eng
title Measuring UK crime gangs: a social network problem
spellingShingle Measuring UK crime gangs: a social network problem
Tom Crick
title_short Measuring UK crime gangs: a social network problem
title_full Measuring UK crime gangs: a social network problem
title_fullStr Measuring UK crime gangs: a social network problem
title_full_unstemmed Measuring UK crime gangs: a social network problem
title_sort Measuring UK crime gangs: a social network problem
author_id_str_mv 200c66ef0fc55391f736f6e926fb4b99
author_id_fullname_str_mv 200c66ef0fc55391f736f6e926fb4b99_***_Tom Crick
author Tom Crick
author2 Giles Oatley
Tom Crick
format Journal article
container_title Social Network Analysis and Mining
container_volume 5
container_issue 1
publishDate 2015
institution Swansea University
issn 1869-5450
1869-5469
doi_str_mv 10.1007/s13278-015-0265-1
publisher Springer
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Social Sciences - Education and Childhood Studies{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Education and Childhood Studies
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description This paper describes the output of a study to tackle the problem of gang-related crime in the UK; we present the intelligence and routinely-gathered data available to a UK regional police force, and describe an initial social network analysis of gangs in the Greater Manchester area of the UK between 2000 and 2006. By applying social network analysis techniques, we attempt to detect the birth of two new gangs based on local features (modularity, cliques) and global features (clustering coefficients). Thus for the future, identifying the changes in these can help us identify the possible birth of new gangs (sub-networks) in the social system. Furthermore, we study the dynamics of these networks globally and locally, and have identified the global characteristics that tell us that they are not random graphs—they are small world graphs—implying that the formation of gangs is not a random event. However, we are not yet able to conclude anything significant about scale-free characteristics due to insufficient sample size. A final analysis looks at gang roles and develops further insight into the nature of the different link types, referring to Klerks' 'third generation' analysis, as well as a brief discussion of the potential UK policy applications of this work.
published_date 2015-12-31T19:31:09Z
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score 11.04748

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