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dc.contributor.advisorVassileva, Julitaen_US
dc.creatorShi, Shien_US
dc.date.accessioned2013-01-03T22:27:16Z
dc.date.available2013-01-03T22:27:16Z
dc.date.created2011-09en_US
dc.date.issued2011-09-26en_US
dc.date.submittedSeptember 2011en_US
dc.identifier.urihttp://hdl.handle.net/10388/ETD-2011-09-139en_US
dc.description.abstractUsers of social networks, such as Facebook, are becoming increasingly overwhelmed by the growing number of "friends" that they are connected to and the "tsunami" of updates generated by them. It is very easy to miss potentially interesting updates, if one does not frequently check her news feed. Also it is hard to get a sense of which friends are active and especially, which are passive or completely gone. Awareness of friends and friends' activities is one of the utmost importance for a user to build trusted social networks. However, current online social networks provide only very limited clues to support these two kinds of awareness. Therefore, I propose a method to visualize the activity level of friends. It creates a time- and an activity-pattern awareness for the user, as well as an awareness of the lurkers. It also offers options to filter activity streams regarding particular time periods/friends.en_US
dc.language.isoengen_US
dc.subjectonline communitiesen_US
dc.subjectsocial visualizationen_US
dc.titleKeeping up with the information glut by visualizing patterns of posting by friends on Facebooken_US
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US
dc.type.materialtexten_US
dc.type.genreThesisen_US
dc.contributor.committeeMemberDeters, Ralphen_US
dc.contributor.committeeMemberMcCalla, Gorden_US
dc.contributor.committeeMemberBell, Scotten_US


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