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Conference Paper/Proceeding/Abstract 148 views 32 downloads

Measuring UK crime gangs / Tom, Crick

Proceedings of 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Pages: 253 - 256

Swansea University Author: Tom, Crick

DOI (Published version): 10.1109/ASONAM.2014.6921592

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: Proceedings of 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
ISBN: 978-1-4799-5877-1
Published: IEEE 2014
Online Access: https://ieeexplore.ieee.org/document/6921592/
URI: https://cronfa.swan.ac.uk/Record/cronfa43390
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spelling 2018-10-15T14:53:36.1516419 v2 43390 2018-08-14 Measuring UK crime gangs 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 2018-08-14 EDUC 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 2000-2006. 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 coefficient). 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. Conference Paper/Proceeding/Abstract Proceedings of 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 253 256 IEEE 978-1-4799-5877-1 17 8 2014 2014-08-17 10.1109/ASONAM.2014.6921592 https://ieeexplore.ieee.org/document/6921592/ 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) COLLEGE NANME School of Education COLLEGE CODE EDUC Swansea University 2018-10-15T14:53:36.1516419 2018-08-14T15:45:05.0079284 College of Science Computer Science Giles Oatley 1 Tom Crick 0000-0001-5196-9389 2 0043390-11092018010432.pdf asonam2014-short.pdf 2018-09-11T01:04:32.1400000 Output 459481 application/pdf Accepted Manuscript true 2018-09-11T00:00:00.0000000 true eng
title Measuring UK crime gangs
spellingShingle Measuring UK crime gangs
Tom, Crick
title_short Measuring UK crime gangs
title_full Measuring UK crime gangs
title_fullStr Measuring UK crime gangs
title_full_unstemmed Measuring UK crime gangs
title_sort Measuring UK crime gangs
author_id_str_mv 200c66ef0fc55391f736f6e926fb4b99
author_id_fullname_str_mv 200c66ef0fc55391f736f6e926fb4b99_***_Tom, Crick
author Tom, Crick
format Conference Paper/Proceeding/Abstract
container_title Proceedings of 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
container_start_page 253
publishDate 2014
institution Swansea University
isbn 978-1-4799-5877-1
doi_str_mv 10.1109/ASONAM.2014.6921592
publisher IEEE
college_str College of Science
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hierarchy_top_id collegeofscience
hierarchy_top_title College of Science
hierarchy_parent_id collegeofscience
hierarchy_parent_title College of Science
department_str Computer Science{{{_:::_}}}College of Science{{{_:::_}}}Computer Science
url https://ieeexplore.ieee.org/document/6921592/
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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 2000-2006. 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 coefficient). 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.
published_date 2014-08-17T04:04:57Z
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