COMPUTATIONAL ANALYSIS OF TERRORIST GROUPS LASHKAR-E-TAIBA PDF

This book primarily focuses on one famous terrorist group known as Lashkar-e-Taiba or LeT , and how it operates. After 10 years of counter Al Qaeda operations, LeT is considered by many in the counter-terrorism community to be an even greater threat to the US and world peace than Al Qaeda. Computational Analysis of Terrorist Groups: Lashkar-e-Taiba is the first book that demonstrates how to use modern computational analysis techniques including methods for "big data" analysis. This book presents how to quantify both the environment in which LeT operate, and the actions it took over a year period, and represent it as a relational database table.

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As a former Director of National Intelligence, I know this book will be an invaluable asset to counter-terrorism analysts and policymakers. It is a must read. Mike McConnell, Director of National Intelligence "Lashkar-e-Taiba is perhaps the most dangerous jihadist group of global reach after al-Qaeda and is arguably the more complicated actor of the two.

Understanding it requires creative thinking and analysis of exactly the sort VS Subrahmanian and Aaron Mannes offer in this important contribution to the growing Lashkar canon. Highly recommended for policymakers, practitioners and anyone interested knowing more about the South Asian region or transnational terrorism. With further fine tuning of the algorithms and methodology this unique approach could yield even far reaching results to the issues and challenges of public safety in general and national security in particular.

Subrahmanian and his collaborators offer a promising new predictive tool for the study of terrorist groups. These findings lead to several policy recommendations on means to reduce the likelihood of terrorist attacks. Analytical tools from diverse disciplines converge to provide the reader with an indepth understanding of the secret world of terrorism. Its signal importance is that It can provide to the counter terrorism community much needed timely group and site specific assessments of threats worldwide.

Maryland would be unique and it certainly paves the way at least to popularize predictive modeling or use of scientific technique in studying social sciences like what this new book has followed.

This book would certainly enthuse others to explore possibility to use this technique with other groups e. It would help both policy makers and security agencies…. This book is different from the existing literature on LeT, I have read so far….

Furthermore it provides a framework to analyze the behavior of any terror group and also to make forecasts and predictions about future actions of such a group. Hence, a must read for both the intelligence analyst faced with huge amounts of data and academic researchers working on computational methodology to analyze such organizations. Professor Subrahmanian and his team have set a new standard for the computational analysis of terrorist organizations.

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Computational Analysis of Terrorist Groups: Lashkar-e-Taiba : Lashkar-e-Taiba

As a former Director of National Intelligence, I know this book will be an invaluable asset to counter-terrorism analysts and policymakers. It is a must read. Mike McConnell, Director of National Intelligence "Lashkar-e-Taiba is perhaps the most dangerous jihadist group of global reach after al-Qaeda and is arguably the more complicated actor of the two. Understanding it requires creative thinking and analysis of exactly the sort VS Subrahmanian and Aaron Mannes offer in this important contribution to the growing Lashkar canon. Highly recommended for policymakers, practitioners and anyone interested knowing more about the South Asian region or transnational terrorism. With further fine tuning of the algorithms and methodology this unique approach could yield even far reaching results to the issues and challenges of public safety in general and national security in particular.

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Computational analysis of terrorist groups : Lashkar-e-Taiba

This book primarily focuses on one famous terrorist group known as Lashkar-e-Taiba or LeT , and how it operates. After 10 years of counter Al Qaeda operations, LeT is considered by many in the counter-terrorism community to be an even greater threat to the US and world peace than Al Qaeda. Computational Analysis of Terrorist Groups: Lashkar-e-Taiba is the first book that demonstrates how to use modern computational analysis techniques including methods for big data analysis. This book presents how to quantify both the environment in which LeT operate, and the actions it took over a year period, and represent it as a relational database table. This table is then mined using sophisticated data mining algorithms in order to gain detailed, mathematical, computational and statistical insights into LeT and its operations.

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Computational Analysis of Terrorist Groups: Lashkar-e-Taiba

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