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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 generate