A Clustering Based User-Centered (CBUC) Approach for Integrating Social Data into Groups of Interest

Social web sites by means of huge database websites like Facebook, Twitter and, Linked have been becomes a very important task for day to day life. Thousands and millions of social users are extremely linked from each other to these social websites in favor of networking, conversing, distributing, and sharing by means of each other. Social network sites contain consequently develop into a great source of contents of interest, part of which might reduce into the scope of interests of a known group. Therefore no well-organized solution has been proposed in recent works for a grouping of social users depending on their interest’s information, particularly when they are confined by and speckled across diverse social network sites. Clustering Based User-Centered (CBUC) approach is proposed for integrating social data into groups of interests. Proposed CBUC approach follows the procedure of Modified Fuzzy C Means (MFCM) clustering for social grouping of social data user into different group based on their searching interest. This CBUC approach allows users grouping of user social data from various social network sites such as Facebook, Twitter, and LinkedIn by means of their respective groups of interest. CBUC approach the users are clustered by converting of individual social data interest into fuzzification value and verified using the fuzzy objective function. Additional, to reduce the number of iterations, the proposed CBUC approach, MFCM initializes the centroid by means of dist-max initialization algorithm earlier than the execution of MFCM algorithm iteratively. In this approach the users are also capable to personalize their sharing settings and interests contained by their individual groups related to their own preferences. CBUC approach makes it potential in the direction of aggregate social information of the group’s members and extracts from these data the information appropriate to the group's subject of interests. Furthermore, it follows a CBUC design permitting each member in the direction of personalize his/her sharing situation and interests surrounded by their individual groups.