Illuminating Dark Networks
The Study of Clandestine Groups and Organizations
- English
- PDF
- Available on iOS & Android
About this book
Some of the most important international security threats stem from terror groups, criminal enterprises, and other violent non-state actors (VNSAs). Because these groups are often structured as complex, dark networks, analysts have begun to use network science to study them. However, standard network tools were originally developed to examine companies, friendship groups, and other transparent networks. The inherently clandestine nature of dark networks dictates that conventional analytical tools do not always apply. Data on dark networks is incomplete, inaccurate, and often just difficult to find. Moreover, dark networks are often organized to undertake fundamentally different tasks than transparent networks, so resources and information may follow different paths through these two types of organizations. Given the distinctive characteristics of dark networks, unique tools and methods are needed to understand these structures. Illuminating Dark Networks explores the state of the art in methods to study and understand dark networks.
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Information
Table of contents
- Cover
- Half-title
- Series information
- Title page
- Copyright information
- Table of contents
- List of figures
- List of tables
- List of contributors
- Introduction
- 1 Covert Network Analysis
- 2 Dark Dimensions
- 3 Disrupting and Dismantling Dark Networks
- 4 The Methodological Challenges of Extracting Dark Networks
- 5 Detecting Dark Networks Using Geo-temporal and Pattern-Based Network Analysis Techniques
- 6 LookingGlass
- 7 Open-Source Exploitation for Understanding Covert Networks
- 8 Simulating and Analyzing Dark Networks
- 9 Criminal Social Network Intelligence Analysis with the GANG Software
- 10 A New Approach for Identification of Multiple Threat Scenarios to Counter CBRN Networks
- 11 Casting More Light on Dark Networks
- 12 Generating Illicit Networks
- 13 Challenges to Understanding Covert Groups
- 14 Dynamic Actor-Oriented Models as a Tool for the Analysis...
- References
- Index