abstract: With the advent of social media and micro-blogging sites, people have become active in sharing their thoughts, opinions, ideologies and furthermore enforcing them on others. Users have become the source for the production and dissemination of real time information. The content posted by the users can be used to understand them and track their behavior. Using this content of the user, data analysis can be performed to understand their social ideology and affinity towards Radical and Counter-Radical Movements. During the process of expressing their opinions people use hashtags in their messages in Twitter. These hashtags are a rich source of information in understanding the content based relationship between the online users apart from the existing context based follower and friend relationship.
An intelligent visual dash-board system is necessary which can track the activities of the users and diffusion of the online social movements, identify the hot-spots in the users' network, show the geographic foot print of the users and to understand the socio-cultural, economic and political drivers for the relationship among different groups of the users. / Dissertation/Thesis / Masters Thesis Computer Science 2015
| Identifer | oai:union.ndltd.org:asu.edu/item:29850 |
| Date | January 2015 |
| Contributors | Garipalli, Sravan Kumar (Author), Davulcu, Hasan (Advisor), Shakarian, Paulo (Committee member), Hsiao, Ihan (Committee member), Arizona State University (Publisher) |
| Source Sets | Arizona State University |
| Language | English |
| Detected Language | English |
| Type | Masters Thesis |
| Format | 45 pages |
| Rights | http://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved |
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