Modeling the Spread of Influence on the Blogosphere

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dc.contributor.authorJava, Akshay
dc.contributor.authorKolari, Pranam
dc.contributor.authorFinin, Tim
dc.contributor.authorOates, Tim
dc.date.accessioned2018-12-07T20:10:47Z
dc.date.available2018-12-07T20:10:47Z
dc.date.issued2006-03-14
dc.description.abstractBlogs have become a means by which new ideas and information spreads rapidly on the web. They often discuss the latest trends and echo with reactions on different events in the world. The collective wisdom present on the blogosphere is invaluable for market researchers and companies launching new products. In this paper, we validate the effectiveness of some of the influence models on the blogosphere. We validate the robustness of different heuristics in presence of splogs or spam blogs on the web. Experiments also show how PageRank based heuristics could be used to select an influential set of bloggers such that we could maximize the spread of information on the blogosphere.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/300/Modeling-the-Spread-of-Influence-on-the-Blogosphereen_US
dc.format.extent7 pagesen_US
dc.genretechnical reportsen_US
dc.identifierdoi:10.13016/M2RJ48Z9Q
dc.identifier.urihttp://hdl.handle.net/11603/12188
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofseriesUMBC;TR-CS-06-03
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectblogen_US
dc.subjectblogosphereen_US
dc.subjectinfluenceen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleModeling the Spread of Influence on the Blogosphereen_US
dc.typeTexten_US

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