Unifying Social Networks for Smart Phones

Jose Luis de la Pe˝a

AbstractSmartphones and Social networks are two concepts closely related which are in an evolution process and upswing. The amount of information and possibilities available is growing fast and it is becoming increasingly harder to manage and to understand the resources at our disposal. This thesis aims to provide a tool to simplify the process of comprising the social networks included in Facebook, Twitter and LinkedIn. The tool developed is a system that has been called Social Unifier, which contains three main networking functionalities. First of all, Social Unifier is built over a NoSQL database system called Borges that presents a solution to manage and access to all the social information of the users in a fast, reliable way. Besides that, the system has an algorithm that finds matching profiles for those users connections across the three social networking sites. Ultimately, the system also finds suggested connections for the users by taking advantage of the information that is already stored in the system. These three functionalities are operated from an Android device application which provides the user interface for the whole Social Unifier system. The system has been tested by DTU students and the results of those tests have been detailed and analyzed here. This thesis relates and discusses the evolution of this research and the possibilities it may offer in the future.
TypeMaster's thesis [Academic thesis]
PublisherTechnical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk
AddressAsmussens Alle, Building 305, DK-2800 Kgs. Lyngby, Denmark
NoteSupervised by Jakob Eg Larsen, jel@imm.dtu.dk, and Sune Lehmann J°rgensen, slj@imm.dtu.dk, DTU Informatics
Electronic version(s)[pdf]
Publication linkhttp://www.imm.dtu.dk/English.aspx
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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