Utilizing context awareness to enrich relations in social networks

Blazej Andrzej Pawlak

AbstractReal life (offline) and online social networks share common characteristics but also differ in certain aspects. One of them is the relationship model. In offline social networks, we value each of our relations differently. Online social networking sites (SNS) employ a flat model of connections between the members. The model does not carry any knowledge about the relationships. Either someone is a friend or not. This thesis proposes an approach, where context awareness is harnessed to deliver knowledge about oneís relations. The resulting prototype system analyses gathered contextual data by applying reasoning and such machine learning models as hierarchical clustering. The result is a graphical visualization of userís social graph presented as an application on one of the social networking platforms.
TypeMaster's thesis [Academic thesis]
Year2010    Month July
Publication linkhttp://orbit.dtu.dk/getResource?recordId=264597&objectId=1&versionId=1
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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