Political Trends Analysis in Social Networks Using Hidden Markov Model

KHURRAM, MAHMOOD and NAZISH, RAFIQUE and ZAINAB, NAYYAR (2015) Political Trends Analysis in Social Networks Using Hidden Markov Model. In: Second International Conference on Advances in Applied Science and Environmental Technology - ASET 2015, 28-29 August, 2015, Bangkok, Thailand.

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The main purpose of analyzing the social network data is to observe the behaviors and trends that are followed by people. How people interact with each other, what they usually share, what are their interests on social networks, so that analysts can focus new trends for the provision of those things which are of great interest for people so in this paper an easy approach of gathering and analyzing data through keyword based search in social networks is examined using NodeXL and data is gathered from twitter in which political trends have been analyzed and then its statistical calculation is done by applying hidden markov model on the data. As a result it will be analyzed that, what people are focusing most in politics.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: social networks, keyword searching, NodeXL, twitter, hidden markov model.
Depositing User: Mr. John Steve
Date Deposited: 27 Apr 2019 06:34
Last Modified: 27 Apr 2019 06:34
URI: http://publications.theired.org/id/eprint/1601

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