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Big Data Analysis for Terroristic Behavior Identification and Study Using Social Networks: Illegal Armed Groups During the Conflict in Donbas Region (East Ukraine)
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Author(s): Yuriy V. Kostyuchenko (Scientific Centre for Aerospace Research of the Earth, National Academy of Sciences of Ukraine, Ukraine), Victor Pushkar (Independent Researcher, Ukraine), Olga Malysheva (Independent Researcher, Ukraine)and Maxim Yuschenko (National Academy of Sciences of Ukraine, Ukraine)
Copyright: 2019
Pages: 39
Source title:
Developments in Information Security and Cybernetic Wars
Source Author(s)/Editor(s): Muhammad Sarfraz (Kuwait University, Kuwait)
DOI: 10.4018/978-1-5225-8304-2.ch009
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Abstract
This chapter aimed to consider of approaches to big data (social network content) utilization for understanding social behavior in the conflict zones, and analysis of dynamics of illegal armed groups. The analysis directed to identify of structure of illegal armed groups, and detection of underage militants. The probabilistic and stochastic methods of analysis and classification of number, composition, and dynamics of illegal armed groups in active conflict areas are proposed. Data of armed conflict in Donbas (Eastern Ukraine) in the period 2014-2015 is used for analysis. The numerical distribution of age, gender composition, origin, social status, and nationality of militants among illegal armed groups has been calculated. Conclusions on the applicability of described method in criminological practice, as well as about the possibilities of interpretation of obtaining results in the context of study of terrorism are proposed.
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