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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.
dc.contributorAdali, Sibel
dc.contributorMagdon-Ismail, Malik
dc.contributorGoldberg, Mark
dc.contributor.authorSisenda, Fredrick
dc.date.accessioned2021-11-03T10:34:44Z
dc.date.available2021-11-03T10:34:44Z
dc.date.created2012-10-10T14:40:25Z
dc.date.issued2012-08
dc.identifier.urihttps://hdl.handle.net/20.500.13015/3629
dc.descriptionAugust 2012
dc.descriptionSchool of Science
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectComputer science
dc.titleDiscovering user relationships on twitter using behavioral communication features
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid35497
dc.digitool.pid35498
dc.digitool.pid35500
dc.digitool.pid35499
dc.digitool.pid35501
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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