Tracking Terrorism in Africa:Link and Content Analysis of Boko Haram

The book tittled:"Tracking Terrorism in Africa:Link and Content Analysis of Boko Haram" focused on understanding Web Presence, Impact, Trend and Web Environment of the Terrorism organisations in Africa with specialty to online discussion of Boko Haram in Nigeria using applied mathematical concepts, theories and statistical techniques. Kamada Kawai-Frutchermann Reign-Gold Algorithms n Pajek Webometric Inbuilt Analyst are main tools used for the data capturing and analysis. The book gives empirical analysis of Boko Haram Terror, causes, perceived sponsors and connectivity in Africa particularly in the North Eastern part of Nigeria. The research is facilitated by Statistical Cybermetric Research Group (SCRG-UK), supported by TETFUND Scholarship. It is submitted to the Department of Mathematics for the Award of MSc Degree (Mathematics), Faculty of Science and Engineering, University of Wolverhampton, WV1 1LY, United Kingdom, 2013.

Autorentext

SHAIB, Ismail Omade holds Bachelor Degree in Statistics-Usmanu Danfodiyo University, Sokoto, Nigeria and MSc Mathematics-University of Wolverhampton, West Midlands, UK. He lectures at the Department of Statistics, Federal Polytechnic, Auchi, Nigeria.His interest is in innovative researching based on Applied Statistics and Mathematics (ASM).

Klappentext

The book tittled:"Tracking Terrorism in Africa:Link and Content Analysis of Boko Haram" focused on understanding Web Presence, Impact, Trend and Web Environment of the Terrorism organisations in Africa with specialty to online discussion of Boko Haram in Nigeria using applied mathematical concepts, theories and statistical techniques. Kamada Kawai-Frutchermann Reign-Gold Algorithms n Pajek Webometric Inbuilt Analyst are main tools used for the data capturing and analysis. The book gives empirical analysis of Boko Haram Terror, causes, perceived sponsors and connectivity in Africa particularly in the North Eastern part of Nigeria. The research is facilitated by Statistical Cybermetric Research Group (SCRG-UK), supported by TETFUND Scholarship. It is submitted to the Department of Mathematics for the Award of MSc Degree (Mathematics), Faculty of Science and Engineering, University of Wolverhampton, WV1 1LY, United Kingdom, 2013.