Conference Paper/Proceeding/Abstract 1043 views 252 downloads
Measuring UK crime gangs
Proceedings of 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Pages: 253 - 256
Swansea University Author:
Tom Crick
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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...
| Published in: | Proceedings of 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining |
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| ISBN: | 978-1-4799-5877-1 |
| Published: |
IEEE
2014
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| Online Access: |
https://ieeexplore.ieee.org/document/6921592/ |
| URI: | https://cronfa.swan.ac.uk/Record/cronfa43390 |
| 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 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. |
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| Item Description: |
2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) |
| College: |
Faculty of Humanities and Social Sciences |
| Start Page: |
253 |
| End Page: |
256 |