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Title Utilizing context awareness to enrich relations in social networks
Author Pawlak, Blazej Andrzej (Cognitive Systems, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Supervisor Larsen, Jakob Eg (Cognitive Systems, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Petersen, Michael Kai (Cognitive Systems, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Master's thesis
Year 2010
Abstract Real 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 one’s 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 user’s social graph presented as an application on one of the social networking platforms.
Imprint Technical University of Denmark (DTU) : Kgs. Lyngby, Denmark
Series IMM-M.Sc.-2010-48
Fulltext
Original PDF ep10_48_2.pdf (5.05 MB)
Admin Creation date: 2010-07-02    Update date: 2010-07-02    Source: dtu    ID: 264597    Original MXD