Detecting changes in context using time series analysis of social network

Nusratullah , Kajal and Shah , Asadullah and Ahmad Khan, Shoab and Haider Butt, Wasi (2015) Detecting changes in context using time series analysis of social network. In: SAI Intellegence Systems Conference 2015, 10-11 November 2015, United Kingdom, London.

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Abstract

Researchers are getting great benefits of big data as information gathered from social media like Facebook, Twitter and being used to perceive the lot from family planning to predicting postpartum depression. Detecting behavioral changes in social networks represents an exciting new area of this progression that is used to counter organizational behavior and terrorism. Such analysis in social networks in categorized as dynamic data analysis. To process data dynamically time series considers as an essential component. This research proposes a novel technique that uses time series analysis in cyber space based social networks to detect variances or changes in human context overtime.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	6566/49209
Uncontrolled Keywords:	context; social network analysis; time series analysis; dynamic analysis of social network
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof Asadullah Shah
Date Deposited:	26 Jan 2016 12:00
Last Modified:	24 May 2016 11:24
URI:	http://irep.iium.edu.my/id/eprint/49209

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