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Authors: Victor Chang 1 ; Yeqing Mou 2 ; Qianwen Ariel Xu 1 ; 2 ; Harleen Kaur 3 and Ben S. Liu 4

Affiliations: 1 Artificial Intelligence and Information Systems Research Group, School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, U.K. ; 2 IBSS, Xi’an Jiaotong-Liverpool University, Suzhou, China ; 3 Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India ; 4 Department of Marketing, Quinnipiac University, U.S.A.

Keyword(s): Social Network Analysis, Crime Network Detection, K-core Decomposition, Centrality Analysis.

Abstract: This paper aims to explore the use of social network analysis in identifying the most active suspects and possible crime gangs in the network. The homicide dataset provided by White & Rosenfeld is employed and both the victim network and suspects network are structured by the use of Rstudio. This paper finds that the criminal gang and group of victims in homicide cases could be investigated by conducting centrality analysis and detecting cliques in these two one-mode networks. Moreover, the same features of victims or suspects are significant indicators for distinguishing and discovering victim groups or criminal gangs. As suspects or victims with the same features will be gathered into the same community in the community analysis of SNA, it is more effective to identify victim groups or criminal gangs by analyzing their characteristics, so that crimes can be resolved more efficiently or even prevented.

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Paper citation in several formats:
Chang, V. ; Mou, Y. ; Xu, Q. ; Kaur, H. and Liu, B. (2021). Homicide Network Detection based on Social Network Analysis. In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-504-3; ISSN 2184-4976, SciTePress, pages 329-337. DOI: 10.5220/0010533803290337

@conference{iotbds21,
author={Victor Chang and Yeqing Mou and Qianwen Ariel Xu and Harleen Kaur and Ben S. Liu},
title={Homicide Network Detection based on Social Network Analysis},
booktitle={Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2021},
pages={329-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010533803290337},
isbn={978-989-758-504-3},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Homicide Network Detection based on Social Network Analysis
SN - 978-989-758-504-3
IS - 2184-4976
AU - Chang, V.
AU - Mou, Y.
AU - Xu, Q.
AU - Kaur, H.
AU - Liu, B.
PY - 2021
SP - 329
EP - 337
DO - 10.5220/0010533803290337
PB - SciTePress

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