Research on Empirical Visualization of Counter-Terrorism Based on UCINET

DOI

10.2991/msmi-16.2016.63How to use a DOI?

Keywords

UCINET; social network analysis; terrorist organization; anti-terrorism; demonstration

Abstract

With the terrorist organization develops in the form of network, this paper applies social network analysis method to analyze the relationship between the social network of the networking terrorist organization so as to reveal the involving relationship of terrorist activities between leaders and members of the terrorist organization, thus to help prevent and combat terrorism. Network visualization analysis tools UCINET possesses powerful function of data visualization and dynamic data analysis. In this paper, we first describe the steps of counter-terrorism analysis based on social network analysis and UCINET. Finally, by using "3.01" event in Kunming as an example and employing UCINET software to make a visual empirical research on counter-terrorism network, we analyze the network density and central measure value.

Copyright

© 2016, 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  - Ling-Zhi Jiang
AU  - Li-Tao Qiao
AU  - Qi-Wu Wu
PY  - 2016/08
DA  - 2016/08
TI  - Research on Empirical Visualization of Counter-Terrorism Based on UCINET
BT  - Proceedings of the 2016 International Conference on Management Science and Management Innovation
PB  - Atlantis Press
SP  - 268
EP  - 271
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-16.2016.63
DO  - 10.2991/msmi-16.2016.63
ID  - Jiang2016/08
ER  -