Identifying the socio-spatial dynamics of terrorist attacks in the Middle East

Ze Li, Duoyong Sun, Hsinchun Chen, Shin Ying Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Terrorist attacks change dynamically in social and geographic spaces. In this paper, terrorist attacks in the Middle East are analyzed using methods of network science, statistical methods, geographic information science, and artificial neural networks designed from a socio-spatial perspective. Based on the Global Terrorism Database (GTD), firstly the distribution and trends of terrorist attacks are detected. Then approaches for building diffusion network and identifying diffusion patterns of transnational and transyearly attacks are developed. Finally a Back Propagation Neural Network (BPNN) model is built for predicting future attacks. Results lead to a greater understanding of socio-spatial dependencies and diffusion regularities of terrorist attacks. The findings have significant implications for multinational security and the need to coordinate transnationally.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages175-180
Number of pages6
ISBN (Electronic)9781509038657
DOIs
StatePublished - Nov 15 2016
Event14th IEEE International Conference on Intelligence and Security Informatics, ISI 2015 - Tucson, United States
Duration: Sep 28 2016Sep 30 2016

Other

Other14th IEEE International Conference on Intelligence and Security Informatics, ISI 2015
CountryUnited States
CityTucson
Period9/28/169/30/16

Keywords

  • Diffusion Patterns
  • Socio-Spatial Dynamics
  • Terrorist Attack
  • The Middle East

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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