Why Failing Terrorist Groups Persist Revisited: A Social Network Approach to AQIM Network Resilience

Abstract

To date, most analyses of the Al Qaeda in the Islamic Maghreb (AQIM) network have focused on qualitative analysis to determine trends and patterns in the groups evolution over time. Seldom has a combination of quantitative tools been used to derive inferences about the nature of the organization and its changing strategy. In this paper, the author draws on a combination of geospatial analysis and social network analysis in order to explore how the network has changed over time in response to efforts from local and international security forces to disrupt it. The analysis enables the community of interest to draw conclusions with regard to the resiliency of the network and its long-term goals in the Sahel region. Evidence indicates that AQIM is evolving into a less dense but more ethnically diverse organization that is rapidly restoring the operational capacity it lost during the 2013 French intervention in Mali. Despite major Western military efforts to suppress it, AQIM is increasingly able to conduct spectacular attacks across west Africa, further destabilizing an already precarious security environment. The thesis concludes with recommendations for crafting a strategy tailored to degrading and containing the threat from AQIM and its affiliates.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2017
Accession Number
AD1053068

Entities

People

  • Tyler D Baker

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Civil War
  • Climate Change
  • Counterterrorism
  • Criminals
  • Data Set
  • Digital Data
  • Ethnic Groups
  • Geographic Distribution
  • Geographic Information Systems
  • Geography
  • Information Operations
  • Insurgency
  • Minority Groups
  • Security
  • Social Networks
  • Societies
  • Terrorism
  • Terrorists
  • United States
  • United States Africa Command
  • Urban Areas
  • Warfare
  • West Africa

Readers

  • Computational Modeling and Simulation
  • Political Violence and Terrorism Studies.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy