An integrated deep-learning and multi-level framework for understanding the behavior of terrorist groups

An integrated deep-learning and multi-level framework for understanding the behavior of terrorist groups

Human security is threatened by terrorism in the 21st century. A rapidly growing field of study aims to understand terrorist attack patterns for counter-terrorism policies. Existing research aimed at predicting terrorism from a single perspective, typically employing only background contextual infor...

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Bibliographic Details
Main Authors: Dong Jiang, Jiajie Wu, Fangyu Ding, Tobias Ide, Jürgen Scheffran, David Helman, Shize Zhang, Yushu Qian, Jingying Fu, Shuai Chen, Xiaolan Xie, Tian Ma, Mengmeng Hao, Quansheng Ge
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Heliyon
Subjects:
Terrorism
Deep learning
Terrorist group
Terrorist network
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023061030

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http://www.sciencedirect.com/science/article/pii/S2405844023061030

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