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Author: Daniel Cunningham Publisher: Rowman & Littlefield ISBN: 1442249455 Category : Political Science Languages : en Pages : 389
Book Description
Dark networks are the illegal and covert networks (e.g, insurgents, jihadi groups, or drug cartels) that security and intelligence analysts must track and identify to be able to disrupt and dismantle them. This text explains how this can be done by using the Social Network Analysis (SNA) method. Written in an accessible manner, it provides an introduction to SNA, presenting tools and concepts, and showing how SNA can inform the crafting of a wide array of strategies for the tracking and disrupting of dark networks.
Author: Daniel Cunningham Publisher: Rowman & Littlefield ISBN: 1442249455 Category : Political Science Languages : en Pages : 389
Book Description
Dark networks are the illegal and covert networks (e.g, insurgents, jihadi groups, or drug cartels) that security and intelligence analysts must track and identify to be able to disrupt and dismantle them. This text explains how this can be done by using the Social Network Analysis (SNA) method. Written in an accessible manner, it provides an introduction to SNA, presenting tools and concepts, and showing how SNA can inform the crafting of a wide array of strategies for the tracking and disrupting of dark networks.
Author: Sean F. Everton Publisher: Cambridge University Press ISBN: 1107022592 Category : Computers Languages : en Pages : 489
Book Description
Sean F. Everton focuses on how social network analysis can be used to craft strategies to track, destabilize, and disrupt covert, illegal networks. He illustrates these methods through worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek, and ORA), using standard network data sets as well as data from an actual terrorist network to serve as a running example throughout the book.
Author: Luke M. Gerdes Publisher: Cambridge University Press ISBN: 1107102693 Category : Business & Economics Languages : en Pages : 277
Book Description
Illuminating Dark Networks discusses new necessary methods to understand dark networks, because these clandestine groups differ from transparent organizations.
Author: Sean F. Everton Publisher: Cambridge University Press ISBN: 1139789570 Category : Social Science Languages : en Pages :
Book Description
Disrupting Dark Networks focuses on how social network analysis can be used to craft strategies to track, destabilize and disrupt covert and illegal networks. The book begins with an overview of the key terms and assumptions of social network analysis and various counterinsurgency strategies. The next several chapters introduce readers to algorithms and metrics commonly used by social network analysts. They provide worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek and ORA) using standard network data sets as well as data from an actual terrorist network that serves as a running example throughout the book. The book concludes by considering the ethics of and various ways that social network analysis can inform counterinsurgency strategizing. By contextualizing these methods in a larger counterinsurgency framework, this book offers scholars and analysts an array of approaches for disrupting dark networks.
Author: Sean F. Everton Publisher: ISBN: 9781139779739 Category : Social networks Languages : en Pages : 451
Book Description
Disrupting dark networks focuses on how social network analysis can be used to craft strategies to track, destabilize and disrupt covert and illegal networks. The book begins with an overview of the key terms and assumptions of social network analysis and various counterinsurgency strategies. The next several chapters introduce readers to algorithms and metrics commonly used by social network analysts. They provide worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek and ORA) using standard network data sets as well as data from an actual terrorist network that serves as a running example throughout the book. The book concludes by considering the ethics of and various ways that social network analysis can inform counterinsurgency strategizing. By contextualizing these methods in a larger counterinsurgency framework, this book offers scholars and analysts an array of approaches for disrupting dark networks.
Author: Johannes Saal Publisher: Springer Nature ISBN: 3658328428 Category : Political Science Languages : en Pages : 527
Book Description
With the departure of European Muslims to the “Islamic State” and a wave of terrorist attacks in Europe in recent years, the questions of why and how individuals radicalize to Jihadi extremism attracted keen interest. This thesis examines how individuals radicalize by applying a theoretical framework that primarily refers to social capital theory, the economics of religion, and social movement theory. The analysis of the biographical backgrounds, pathways of radicalization, and network connections of more than 1,300 Jihadi extremists from Germany, Austria, and Switzerland shows that radicalization primarily need to be considered as a social process of isolation from former social contacts and affiliation with a new religious group. Radicalization is characterized by the transformation of social capital and often channeled through so-called “strong ties” to friends and family members. These peer networks constitute the social fundament of radical clusters on the local level which are usually linked to a broader milieu through exclusive mosque communities and religious authorities. Bonding social capital within these radical groups minimizes the risk of betrayal and promotes trust essential for clandestine and risky activities.
Author: Olivier J. Walther Publisher: Routledge ISBN: 1351680129 Category : Political Science Languages : en Pages : 230
Book Description
Since the end of the Cold War, the monopoly of legitimate organized force of many African states has been eroded by a mix of rebel groups, violent extremist organizations, and self-defence militias created in response to the rise in organized violence on the continent. African Border Disorders explores the complex relationships that bind states, transnational rebels and extremist organizations, and borders on the African continent. Combining cutting edge network science with geographical analysis, the first part of the book highlights how the fluid alliances and conflicts between rebels, violent extremist organizations and states shape in large measure regional patterns of violence in Africa. The second part of the book examines the spread of Islamist violence around Lake Chad through the lens of the violent Nigerian Islamist group Boko Haram, which has evolved from a nationally-oriented militia group, to an internationally networked organization. The third part of the book explores how violent extremist organizations conceptualize state boundaries and territory and, reciprocally, how do the civil society and the state respond to the rise of transnational organizations. The book will be essential reading for all students and specialists of African politics and security studies, particularly those specializing on fragile states, sovereignty, new wars, and borders as well as governments and international organizations involved in conflict prevention and early intervention in the region.
Author: Hsinchun Chen Publisher: Springer Science & Business Media ISBN: 1461415578 Category : Computers Languages : en Pages : 460
Book Description
The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace. This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.
Author: Gisela Bichler Publisher: University of California Press ISBN: 0520297059 Category : Social Science Languages : en Pages : 267
Book Description
Understanding Criminal Networks is a short methodological primer for those interested in studying illicit, deviant, covert, or criminal networks using social network analysis (SNA). Accessibly written by Gisela Bichler, a leading expert in SNA for dark networks, the book is chock-full of graphics, checklists, software tips, step-by-step guidance, and straightforward advice. Covering all the essentials, each chapter highlights three themes: the theoretical basis of networked criminology, methodological issues and useful analytic tools, and producing professional analysis. Unlike any other book on the market, the book combines conceptual and empirical work with advice on designing networking studies, collecting data, and analysis. Relevant, practical, theoretical, and methodologically innovative, Understanding Criminal Networks promises to jumpstart readers’ understanding of how to cross over from conventional investigations of crime to the study of criminal networks.
Author: Daniel Cunningham
Author: Daniel Cunningham
Author: Sean F. Everton
Author: Luke M. Gerdes
Author: Sean F. Everton
Author: Sean F. Everton
Author: Luke M. Gerdes
Author: Johannes Saal
Author: Olivier J. Walther
Author: Hsinchun Chen
Author: Gisela Bichler