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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.
dc.contributorGoldberg, Mark
dc.contributorKrishnamoorthy, M. S.
dc.contributorMagdon-Ismail, Malik
dc.contributor.authorMilito, Samuel
dc.date.accessioned2021-11-03T08:09:36Z
dc.date.available2021-11-03T08:09:36Z
dc.date.created2014-09-11T10:31:25Z
dc.date.issued2014-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/1105
dc.descriptionMay 2014
dc.descriptionSchool of Science
dc.description.abstractThis paper seeks to address the identification of sock puppet groups as contrasted with legitimate groups of uncoordinated, separate individuals. We attempt to find distinguishing features for sock puppet groups based on time and type of edits. We primarily focus on time interval overlaps, group graph construction, and attempting to find alliances within groups. Overall, a number of differentiating factors emerge, some of which are very strong, and some of which are only of moderate utility.
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectComputer science
dc.titleSock puppet analysis and detection via Wikipedia edit behaviors
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid172657
dc.digitool.pid172658
dc.digitool.pid172659
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Computer Science


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