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Representing Blogger Influence on Issue Sentiment and Opinion as an Epidemic Model

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dc.contributor.advisor Wegman, Edward
dc.contributor.author Garrity, Michael James
dc.creator Garrity, Michael James
dc.date.accessioned 2016-09-28T10:23:03Z
dc.date.available 2016-09-28T10:23:03Z
dc.date.issued 2016
dc.identifier.uri https://hdl.handle.net/1920/10448
dc.description.abstract Online blogging continues to be a popular way for people to share and discuss their opinions with others in the community. Blogospheres also provide a forum where authors can follow other bloggers as well as recommend and leave comments on individual posts. Over time, certain authors become more popular with high numbers of recommendations and comments, leading to an increased influence on connected bloggers’ sentiment and opinion within the network. Given the large number of users and issues being discussed in any blogosphere, it is extremely difficult to easily gauge patterns and trends in public sentiment and opinion, as well as any level of influence certain bloggers may have.
dc.format.extent 120 pages
dc.language.iso en
dc.rights Copyright 2016 Michael James Garrity
dc.subject Computer science en_US
dc.subject Statistics en_US
dc.subject Epidemic Model en_US
dc.subject Infectious Disease en_US
dc.subject Influence en_US
dc.subject Opinion en_US
dc.subject Sentiment Analysis en_US
dc.subject Text Mining en_US
dc.title Representing Blogger Influence on Issue Sentiment and Opinion as an Epidemic Model
dc.type Dissertation
thesis.degree.level Ph.D.
thesis.degree.discipline Computational Sciences and Informatics
thesis.degree.grantor George Mason University


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