Proceedings of the 5th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2019)

A Case Study of Tibet's "3.14" Anti-terrorism Based on Social Network Analysis

Authors
Lingzhi Jiang, Qiwu Wu
Corresponding Author
Qiwu Wu
Available Online December 2019.
DOI
10.2991/sschd-19.2019.109How to use a DOI?
Keywords
Social Networks Analysis, UCINET, Relation matrix, Network density, Centrality.
Abstract

In recent years, terrorism has emerged as the main feature of networking and decentralization. To understand the intrinsic link between terrorists and terrorist cases more accurately, social network analysis methods have received increasing attention from researchers. This article takes Tibet’s “3.14” terrorism as an example. It uses the acquired data as a data source to build a relationship matrix and build a relational network model. It uses UCINET software to perform network visualization analysis of events. The measured values can be applied to the formulation of China's anti-terrorism strategy.

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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Volume Title
Proceedings of the 5th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2019
ISBN
978-94-6252-859-8
ISSN
2352-5398
DOI
10.2991/sschd-19.2019.109How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Lingzhi Jiang
AU  - Qiwu Wu
PY  - 2019/12
DA  - 2019/12
TI  - A Case Study of Tibet's "3.14" Anti-terrorism Based on Social Network Analysis
BT  - Proceedings of the 5th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2019)
PB  - Atlantis Press
SP  - 529
EP  - 533
SN  - 2352-5398
UR  - https://doi.org/10.2991/sschd-19.2019.109
DO  - 10.2991/sschd-19.2019.109
ID  - Jiang2019/12
ER  -