Emerging Trends in Social Network Analysis of Terrorism and Counterterrorism

Knoke, David

doi:10.1002/9781118900772.etrds0106

Cited by 20 publications

(9 citation statements)

References 33 publications

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“…Another important issue related to the structural analysis of social networks is to investigate the presence of spams, malicious activities, anomalies, and frauds within a network. 46 These events can be in any form such as cyber bullying, 47,48 terrorist attack planning, 49 embezzlement, 50 dissemination of fraud news, 51 fake accounts to create artificial numbers on pages, 52,53 and political manipulation. 54,55 Beutel et al suggested a system in which a bipartite graph is created between users and pages they liked.…”

Section: Applications Of Structural Analysismentioning

confidence: 99%

Semantic analysis on social networks: A survey

Bayrakdar

Yücedağ

Şimşek

et al. 2020

Int J Communication

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Summary As social networks are getting more and more popular day by day, large numbers of users becoming constantly active social network users. In this way, there is a huge amount of data produced by users in social networks. While social networking sites and dynamic applications of these sites are actively used by people, social network analysis is also receiving an increasing interest. Moreover, semantic understanding of text, image, and video shared in a social network has been a significant topic in the network analysis research. To the best of the author's knowledge, there has not been any comprehensive survey of social networks, including semantic analysis. In this survey, we have reviewed over 200 contributions in the field, most of which appeared in recent years. This paper not only aims to provide a comprehensive survey of the research and application of social network analysis based on semantic analysis but also summarizes the state‐of‐the‐art techniques for analyzing social media data. First of all, in this paper, social networks, basic concepts, and components related to social network analysis were examined. Second, semantic analysis methods for text, image, and video in social networks are explained, and various studies about these topics are examined in the literature. Then, the emerging approaches in social network analysis research, especially in semantic social network analysis, are discussed. Finally, the trending topics and applications for future directions of the research are emphasized; the information on what kind of studies may be realized in this area is given.

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Section: Applications Of Structural Analysismentioning

confidence: 99%

Semantic analysis on social networks: A survey

Bayrakdar

Yücedağ

Şimşek

et al. 2020

Int J Communication

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“…actions, forcing them to find compromise between security and communication [211,212]. Typically, leadership roles are re-adjusted and hierarchical organizations become more decentralized so that the network may survive a negative environment.…”

Section: Lattice and Network Modelsmentioning

confidence: 99%

Mathematical Models of Radicalization and Terrorism

Chuang,

D'Orsogna

2019

Preprint

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The rapid spread of radical ideologies has led to a world-wide succession of terrorist attacks in recent years. Understanding how extremist tendencies germinate, develop, and drive individuals to action is important from a cultural standpoint, but also to help formulate response and prevention strategies. Demographic studies, interviews with radicalized subjects, analysis of terrorist databases, reveal that the path to radicalization occurs along progressive steps, where age, social context and peer-to-peer exchanges play major roles. To execute terrorist attacks, radicals must efficiently communicate with one another while maintaining secrecy; they are also subject to pressure from counter-terrorism agencies, public opinion and the need for material resources. Similarly, government entities must gauge which intervention methods are most effective. While a complete understanding of the processes that lead to extremism and violence, and of which deterrents are optimal, is still lacking, mathematical modelers have contributed to the discourse by using tools from statistical mechanics and applied mathematics to describe existing and novel paradigms, and to propose novel counter-terrorism strategies. We review some of their approaches in this work, including compartment models for populations of increasingly extreme views, continuous time models for age-structured radical populations, radicalization as social contagion processes on lattices and social networks, agent based models, game theoretic formulations. We highlight the useful insights offered by analyzing radicalization and terrorism through quantitative frameworks. Finally, we discuss the role of institutional intervention and the stages at which deradicalization strategies might be most effective.

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“…These visual maps resemble complex webs or multiple conjoined hub–spoke models depending on the complexity of the analysis (see, e.g., Easley and Kleinberg, 2010). SNA has thus become a conventional metaphor guiding research into social collectivities — normally organisations — as diverse as cities, governments and terrorists (Giuffre, 2013; Knoke, 2015; Rhodes, 1990). Insofar as it has become a methodological tool, it elides its metaphorical nature — particularly its representation of the world through the hub–spoke model first seen in concepts of the communicative interconnections forged by the telegraph — presenting itself as a simple description of social, economic and political reality.…”

Section: Network Thinking: a Brief Historymentioning

confidence: 99%

Against network thinking: A critique of pathological sovereignty

Coward

2017

European Journal of International Relations

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This article advances a critique of network thinking and the pathological sovereignty that it gives rise to. The network is ubiquitous as a metaphor for understanding the social, economic and political dynamics of the contemporary era. Implicitly drawing on an analogy with communications infrastructures such as the telegraph or internet, the network metaphor represents global politics in terms of nodes related to one another through conduit-like links. I begin by demonstrating the widespread nature of network thinking and outline the way in which conventional metaphors structure both thinking and action. I then recreate an episodic history of network thinking in order to demonstrate the key entailments of the network metaphor. I argue that there are four entailments of network thinking: the prioritisation of connectivity; the identification of novel actors; de-territorialisation; and a lack of concern for contiguity and context. The article then outlines the corresponding political and ethical consequences that follow from these entailments, specifically: fantasies of precision; new threat imaginaries; unboundedness; and a failure to attend to culture and community. I contend that network thinking gives rise to a pathological sovereignty whose dual faces can be seen in drone strikes and invasive surveillance. Finally, I argue that thinking beyond the network requires us to foreground the importance of contiguity and context in understanding global politics. This article contributes both a novel theoretical framework for challenging the hegemony of network thinking and an ethical call for greater recognition of the harm caused by pathological sovereignty.

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Emerging Trends in Social Network Analysis of Terrorism and Counterterrorism

Cited by 20 publications

References 33 publications

Semantic analysis on social networks: A survey

Semantic analysis on social networks: A survey

Mathematical Models of Radicalization and Terrorism

Against network thinking: A critique of pathological sovereignty

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