A complex networks approach to find latent clusters of terrorist groups

A complex networks approach to find latent clusters of terrorist groups

Abstract Given the extreme heterogeneity of actors and groups participating in terrorist actions, investigating and assessing their characteristics can be important to extract relevant information and enhance the knowledge on their behaviors. The present work will seek to achieve this goal via a com...

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Bibliographic Details
Main Authors: Gian Maria Campedelli, Iain Cruickshank, Kathleen M. Carley
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:Applied Network Science
Subjects:
Terrorism
Political violence
Community detection
Computational criminology
Von Neumann entropy
Gower’s coefficient
Online Access:http://link.springer.com/article/10.1007/s41109-019-0184-6

Internet

http://link.springer.com/article/10.1007/s41109-019-0184-6

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