@inproceedings{739f235991c345788addd5323dff205c,
title = "Identifying the socio-spatial dynamics of terrorist attacks in the Middle East",
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.",
keywords = "Diffusion Patterns, Socio-Spatial Dynamics, Terrorist Attack, The Middle East",
author = "Ze Li and Duoyong Sun and Hsinchun Chen and Huang, {Shin Ying}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 14th IEEE International Conference on Intelligence and Security Informatics, ISI 2015 ; Conference date: 28-09-2016 Through 30-09-2016",
year = "2016",
month = nov,
day = "15",
doi = "10.1109/ISI.2016.7745463",
language = "English (US)",
series = "IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "175--180",
editor = "Wenji Mao and Wang, {G. Alan} and Lina Zhou and Lisa Kaati",
booktitle = "IEEE International Conference on Intelligence and Security Informatics",
}