Anonymous Asserts Profile Protection In Mobile Social Networks

In The Current Environment Through Social Network People Can Find Others And Make Their Own Network. An Individual User Can Have Multiple Accounts Of Social Networking Sites. In This Paper We Proposed An Algorithm For Profile Matching In Social Networks, Which Helps To Identify A Particular Person Who Has Multiple Social Networking Accounts And Map His/Her Profile’s Attribute Values With Others In The Same Network To Make A Search Of Friends Easier

Foaf-O-Matic - Solving the Identity Problem in the FOAF Network

Abstract. An issue that is equally arising both from social networks and the Semantic Web is the fact that, without the consistent use of the same identifier for an object across systems, it is unnecessarily hard to perform information integration. We are addressing this issue where both fields intersect, namely in the context of FOAF profiles, which describe the social network of a person with Semantic Web technology. We have developed a new, state-of-the-art web application for the generation of FOAF profiles, which has the integral characteristic of making use of the Okkam Infrastructure. This infrastructure enables the systematic, global use of unique identifiers for entities, and thus aims to solve the identity problem that exists in FOAF today.