Homicide Network Detection based on Social Network Analysis

Victor Chang, Yeqing Mou, Qianwen Xu, Qianwen Xu, Harleen Kaur, Ben Liu

2021

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 Harvard Style

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 - Volume 1: IoTBDS, ISBN 978-989-758-504-3, pages 329-337. DOI: 10.5220/0010533803290337


in Bibtex Style

@conference{iotbds21,
author={Victor Chang and Yeqing Mou and Qianwen Xu and Harleen Kaur and Ben 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 - Volume 1: IoTBDS,},
year={2021},
pages={329-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010533803290337},
isbn={978-989-758-504-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Homicide Network Detection based on Social Network Analysis
SN - 978-989-758-504-3
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