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Journal of Applied Security Research Volume 10, 2015 - Issue 1
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Measuring Radicalization in Online Social Networks Using Markov Chains

Pooja WadhwaComputer Engineering Department, Netaji Subhas Institute of Technology, New Delhi, IndiaCorrespondence[email protected]
&
M. P. S. BhatiaComputer Engineering Department, Netaji Subhas Institute of Technology, New Delhi, India
Pages 23-47 | Published online: 22 Jan 2015

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Tyler A. Clark & Thomas R. Guarrieri. (2021) Modeling Terrorist Attack Cycles as a Stochastic Process: Analyzing Chemical, Biological, Radiological, and Nuclear (CBRN) Incidents. Journal of Applied Security Research 16:3, pages 281-306.
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Johannes Saal & Antonius Liedhegener. 2023. Gesellschaftliche Ausgangsbedingungen für Radikalisierung und Co-Radikalisierung. Gesellschaftliche Ausgangsbedingungen für Radikalisierung und Co-Radikalisierung 399 440 .
Brett Drury, Samuel Morais Drury, Md Arafatur Rahman & Ihsan Ullah. (2022) A social network of crime: A review of the use of social networks for crime and the detection of crime. Online Social Networks and Media 30, pages 100211.
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Ruchi Mittal & M.P.S Bhatia. 2022. Research Anthology on Usage, Identity, and Impact of Social Media on Society and Culture. Research Anthology on Usage, Identity, and Impact of Social Media on Society and Culture 528 540 .
Johannes SaalJohannes Saal. 2021. The Dark Social Capital of Religious Radicals. The Dark Social Capital of Religious Radicals 153 302 .
Ruchi Mittal & M.P.S Bhatia. (2019) Classifying the Influential Individuals in Multi-Layer Social Networks. International Journal of Electronics, Communications, and Measurement Engineering 8:1, pages 21-32.
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Martin B. Short, Scott G. McCalla & Maria R. D'Orsogna. (2017) Modelling radicalization: how small violent fringe sects develop into large indoctrinated societies. Royal Society Open Science 4:8, pages 170678.
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