scholarly journals Risk Assessment—the Key to More Security? Factors, Tools, and Practices in Dealing with Extremist Individuals

2022 ◽  
Author(s):  
Katrin Höffler ◽  
Miriam Meyer ◽  
Veronika Möller
Keyword(s):  
Risk Assessment ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Assessment Tools ◽  
Process Characteristics ◽  
Raising Awareness ◽  
Risk Assessment Tools ◽  
Violent Extremism ◽  
The Right

AbstractIn recent years, risk assessments for violent extremism have attracted great interest from both scholars and practitioners, and many assessment tools have been developed. After a critical review of this development, the paper examines differences and similarities between the indicators of various violent extremist risk assessment tools and checklists. Based on an interview study with 34 experts in the field of Counter Violent Extremism and 24 (formerly) radicalized persons from the right-wing radical and Salafi-Jihadist spectrum, risk factors were identified and the findings merged and compared with already existing risk assessment tools. The paper will present results especially regarding the risk signals’ occurrence and applicability in the German context. One key finding is that existing assessment tools insufficiently take into account personal contacts in the radicalization process. Thus, the paper—based on the results of a social network analysis—draws attention to the potential and importance of networks. The paper concludes by outlining the potential of risk assessment, suggesting improvements, and raising awareness of the limits and deficits of these tools. The paper thus scientifically addresses the challenge of more security through efficient risk assessment and management. It offers a list of radicalization process characteristics (ARISNA: Assessment of Radicalized Individuals including Social Network Analysis), which is designed to help users analyze the risk of radicalization based on concrete traits of a person and their environment.

The Use of Terrorism Risk Assessment Tools in Australia to Manage Residual Risk

2021 ◽  
Author(s):  
Bernhard Ripperger
Keyword(s):  
Risk Assessment ◽  
Information Gathering ◽  
Residual Risk ◽  
Decision Makers ◽  
Assessment Tools ◽  
Assessment Process ◽  
Terrorism Risk ◽  
Risk Assessment Tools ◽  
Violent Extremism ◽  
Legislative Measures

There is growing concern in Australia about the residual risk of acts of terrorism or violent extremism posed by offenders after their release to the community from jail. A number of legislative measures have been passed that attempt to address this particular risk. Terrorism risk assessment tools are central to the effective operation of these new laws. Although existing tools demonstrate potential in assisting decision makers in identifying and managing persons that pose a risk of extremist violence there remain several challenges. These tools provide a useful guide to information gathering and analysis, however the assessment process is time consuming and resource intensive. Further, existing tools are currently given limited weight by the courts which impairs the effectiveness of legal measures designed to address residual risk.

Social network analysis for personalized characterization and risk assessment of alcohol use disorders in adolescents using semantic technologies

2020 ◽  
Vol 106 ◽  
pp. 154-170 ◽  
Author(s):  
José Alberto Benítez-Andrades ◽  
Isaías García-Rodríguez ◽  
Carmen Benavides ◽  
Héctor Alaiz-Moretón ◽  
Alejandro Rodríguez-González
Keyword(s):  
Risk Assessment ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Alcohol Use ◽  
Alcohol Use Disorders ◽  
Semantic Technologies

The German New Right and Its Think Tanks

2020 ◽  
Vol 38 (4) ◽  
pp. 51-71
Author(s):  
Hartwig Pautz
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Electoral Politics ◽  
Document Analysis ◽  
Think Tanks ◽  
New Right ◽  
Far Right ◽  
The Right

This article presents an analysis of how think tanks of the German New Right have sought to expand the reach of the New Right into far-right electoral politics, specifically those embodied by the Alternative für Deutschland (AfD) party. Informed by social network analysis and document analysis, the research focuses on the years between 2013 and 2017, the period that saw the foundation of the AfD, its shift to the right toward embracing nationalist-völkisch positions, and its entry into the Bundestag. The data show that only a few New Right think tanks have strongly engaged with the AfD for the purpose of changing ideology, personnel, or policy. Most of these think tanks are well-networked with other actors, such as magazines and campaign groups from the wider far right.

Social network analysis in supply chain management research

2016 ◽  
Vol 46 (8) ◽  
pp. 740-762 ◽  
Author(s):  
Barbara K. Wichmann ◽  
Lutz Kaufmann
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Supply Chain Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Chain Management ◽  
Content Type ◽  
Network Research ◽  
The Many ◽  
The Right

Purpose The purpose of this paper is to investigate when and how to best use social network analysis (SNA) in the supply chain management (SCM) discipline. In doing so, the study identifies SCM phenomena that have been examined from a social network perspective (SNA approach) in the SCM literature and highlights additional SCM phenomena that would be worth investigating using social network research. Then, the study critically investigates the application of SNA as a methodology (SNA method), with the goal of assessing and mitigating methodological risks in future studies. Design/methodology/approach This study carries out a systematic literature review of articles published in 11 top-tier SCM journals over a 20-year period. Findings First, while social network research has gained momentum especially since 2010, scholars are not yet entirely aware of the many possibilities the SNA approach offers to the SCM field. Second, expanded possibilities also hold for the development of SNA as a method. Originality/value The paper guides future SCM research by investigating when SNA is the right approach to use and how SNA as a method should be performed. Theoretically richer and practically more relevant research should result.

scholarly journals Polarisation in political Twitter conversations

2014 ◽  
Vol 66 (3) ◽  
pp. 329-341 ◽  
Author(s):  
David Gunnarsson Lorentzen
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Design Methodology ◽  
Right Wing ◽  
Content Type ◽  
The Social ◽  
Left Block ◽  
The Right

Purpose – The purpose of this paper is to describe and analyse relationships and communication between Twitter actors in Swedish political conversations. More specifically, the paper aims to identify the most prominent actors, among these actors identify the sub-groups of actors with similar political affiliations, and describe and analyse the relationships and communication between these sub-groups. Design/methodology/approach – Data were collected during four weeks in September 2012, using Twitter API. The material included 77,436 tweets from 10,294 Twitter actors containing the hashtag #svpol. In total, 916 prominent actors were identified and categorised according to the main political blocks, using information from their profiles. Social network analysis was utilised to map the relationships and the communication between these actors. Findings – There was a marked dominance of the three main political blocks among the 916 most prominent actors: left block, centre-right block, and right-wing block. The results from the social network analysis suggest that while polarisation exists in both followership and re-tweet networks, actors follow and re-tweet actors from other groups. The mention network did not show any signs of polarisation. The blocks differed from each other with the right-wingers being tighter and far more active, but also more distant from the others in the followership network. Originality/value – While a few papers have studied political polarisation on Twitter, this is the first to study the phenomenon using followership data, mention data, and re-tweet data.

scholarly journals Social network analysis and risk assessment: An example of introducing an exotic animal disease in Italy

2019 ◽  
Vol 13 ◽  
pp. 100074 ◽  
Author(s):  
Cristiana Maurella ◽  
Gianluca Mastrantonio ◽  
Silvia Bertolini ◽  
Maria Ines Crescio ◽  
Francesco Ingravalle ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Animal Disease ◽  
Exotic Animal
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