A New Content based Social Interaction Network Paradigm

• Main Author: Nia, Roozbeh Vahdati
• Format: Dissertation
• Language: English
• Published: ProQuest Dissertations & Theses 01-01-2013
• Subjects: Computer science; Mass communications
• ISBN: 9781303539961; 1303539969

Online Social Networks (OSNs) are popular platforms for interaction, communication and collaboration between friends. The goal of my dissertation is to introduce and evaluate the importance and validity of the interactions in OSN in terms of how the availability of such information can improve the existing social computing applications or furthermore, make way for new ones that do not exist today. We develop and present a new platform to make interactions in OSNs accessible. Most of today's social networks, including Facebook, Twitter, and Google+ provide support for third party applications to use their social network graph and content. Such applications are strongly dependent on the set of software tools and libraries provided by the OSNs for their own development and growth. For example, third party companies like CNN provide recommendation materials based on user interactions and user's relationship graph. One of the limitations with this graph (or APIs) is the segregation of the social graph from the shared content. I present in this thesis, that the content shared and the actions taken on the content, creates a Social Interaction Network (SIN). As such, we show the design of our crawler tool that is constantly gathering the interactions and social informatics from public communities on OSNs. We then describe our social-aware kernel with the pre-defined set of API functionalities that allow third party applications to access the interactions in OSNs easily and efficiently. Our kernel is easily extend- able by developers, giving them the ability to insert their own functionalities and direct access to our database. We finally describe and design a few example uses of our API on how it can be used by third party applications.. . .