A Visual Analysis of the “11.13” Terrorist Attacks in Paris Based on UCINET

DOI

10.2991/sschd-18.2019.11How to use a DOI?

Keywords

Social Network Analysis, UCINET, Counter-Terrorism, Network Density, Centricity.

Abstract

As a tool of quantitative analysis, Social Networks Analysis (SNA) has attracted more and more attention and favor. Among them, the network visualization analysis tool UCINET has powerful data visualization and data dynamic analysis functions. By analyzing the relationship between the analysis points and points with UCINET, the visualization relationship network diagram and quantitative data can be obtained. Taking the "11.13" anti-terrorism attack in Paris as an example, this paper carried out a visual empirical study with UCINET software, and analyzed the network density and centrality measurement, which can provide a useful reference for the formulation of counter-terrorism strategies.

Copyright

© 2019, 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  - Qi-Wu WU
PY  - 2019/01
DA  - 2019/01
TI  - A Visual Analysis of the “11.13” Terrorist Attacks in Paris Based on UCINET
BT  - Proceedings of the 4th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2018)
PB  - Atlantis Press
SP  - 54
EP  - 59
SN  - 2352-5398
UR  - https://doi.org/10.2991/sschd-18.2019.11
DO  - 10.2991/sschd-18.2019.11
ID  - WU2019/01
ER  -