Social Bridge: searching beyond Friend of a Friend networks

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Social Bridge: searching beyond Friend of a Friend networks

Please use this identifier to cite or link to this item: http://hdl.handle.net/10355/14605

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Title: Social Bridge: searching beyond Friend of a Friend networks
Author: Mylavarapu, Teja Swaroop
Date: 2012-06-11
Publisher: University of Missouri--Kansas City
Abstract: Social networking has turned into an integral constituent in our lives. There appears to be an imperative demand for finding and linking with others to share one's day-to-day activities. However, currently available search engines for social networking have limited features, such as searches for people mainly by name or finding people within a single domain. With the increasing popularity and complexity of social networks, there is a high demand to enhance current social networks with more advanced features such as, finding people according to their common interests, interaction patterns, or linking someone across domains beyond Friend of a Friend (FOAF) networks. This thesis aims to develop a social search engine, called the Social Bridge that dynamically generates an integrated social profile that portrays a user's profile of interests and interactions with others and helps him/her in connecting to others who share these common interests and interactions. The Social Bridge expands the FOAF concept of current social networking by defining the social strength that represents the degree of affability among people. Social Bridge is based on the integrated profiles of social networks generated by the level of interactions between friends and their respective interests (e.g., friends, likes, hash tags, etc.) extracted from their Twitter and Facebook profiles. The Social Bridge engine has been implemented using advanced methods and techniques including Information Retrieval Techniques (TF/IDF) and Fuzzy Logic. The Social Bridge framework is compared with the existing traditional social networking models and the proposed algorithms have proven to be powerful and efficient in finding potential friends for large social networks. The Social Bridge framework has been further evaluated through a survey of social network users for their feedback on its genuineness, correctness, and scalability.
URI: http://hdl.handle.net/10355/14605

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