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An Information Diffusion Approach to Detecting Emotional Contagion in Online Social Networks


Abstract Internet sites that support user-generated content, so-called Web 2.0, have become part of the fabric of everyday life in technologically advanced nations. Users collectively spend billions of hours consuming and creating content on social networking sites, weblogs (blogs), and various other types of sites in the United States and around the world. Given the fundamentally emotional nature of humans and the amount of emotional content that appears in Web 2.0 content, it is important to understand how such websites can affect the emotions of users. This work attempts to determine whether emotion spreads through an online social network (OSN). To this end, a method is devised that employs a model based on a general threshold diffusion model as... (more)
Created Date 2011
Contributor Cole, William David (Author) / Liu, Huan (Advisor) / Sarjoughian, Hessam (Committee member) / Candan, Kasim S (Committee member) / Arizona State University (Publisher)
Subject Computer Science / emotional contagion / information diffusion / sentiment analysis / social media
Type Masters Thesis
Extent 58 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note M.S. Computer Science 2011
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis