Visualization Study of Terrorist Groups in the Middle East Based on UCINET

DOI

10.2991/assehr.k.210121.185How to use a DOI?

Keywords

Social network analysis, UCINET software, Middle East, Centrality, Network density

Abstract

At present, with the development of information technology and the international community’s efforts to combat terrorism, terrorism is constantly transforming and escalating, taking on the characteristics of Al-Qaida, globalization and networking. Therefore, it is of great significance to study terrorist organizations from the perspective of social network in order to combat terrorist activities. In this paper, we mainly use the social network analysis method to study the relationship network of terrorist organizations in the Middle East, and analyze their network centrality and density with the help of UCINET, so as to get the conclusion about the characteristics of terrorist organizations, and then formulate corresponding counter-terrorism strategies to provide strong theoretical support for the fight against terrorism.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lingzhi Jiang
AU  - Qiwu Wu
AU  - Mingzhu Zheng
PY  - 2021
DA  - 2021/01/23
TI  - Visualization Study of Terrorist Groups in the Middle East Based on UCINET
BT  - Proceedings of the 6th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2020)
PB  - Atlantis Press
SP  - 953
EP  - 957
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210121.185
DO  - 10.2991/assehr.k.210121.185
ID  - Jiang2021
ER  -