Titlebook: Handbook of Computational Approaches to Counterterrorism; V.S. Subrahmanian Book 2013 Springer Science+Business Media New York 2013 Behavi

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Jeremy Holleman,Fan Zhang,Brian Otisblicity, event databases that rely on print and electronic media are likely more useful for studying terrorism than most other types of crime. Nevertheless, event data have important weaknesses, most notably media inaccuracies; conflicting information or false, multiple or no claims of responsibilit

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https://doi.org/10.1007/978-3-031-07175-1ombings and armed attacks, as well as background information about the type of leadership, whether the group is involved in cross border violence, etc. Only a subset—around 43—of the approximately 175 attributes in the data represent strategic actions taken by the group, while the others represent v

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Alexander I. Zhuravlev,Ilya Volodyaevng community in the last decade. Among others, covert networks have been formally characterized by Tsvetovat and Carley[18], McAllister [13] and McCormick and Owen [14], and their optimal network structures have been analyzed and approximated by Lindelauf et al.[9] and Enders and Su [5]. Other appro

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Arthur D. Yaghjian,Thorkild B. Hansenly). For the indirect case information extraction techniques may be adapted to investigate open sources of data in order to derive the required network structure as reflected in the current available data. This is a tedious process but effective and could lead to more realistic and up-to-date inform

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Book 2013orist groups. Auxiliary information will be posted on the book’s website. .Thisbook targets defence analysts, counter terror analysts, computer scientists, mathematicians, political scientists, psychologists, and researchers from the wide variety of fields engaged in counter-terrorism research. Adva

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