Approaches for user profile Investigation in Orkut Social Network

TL;DR

This paper proposes a method to investigate user profiles in Orkut by analyzing social links and profile similarities to determine user closeness and interactions, aiding in social network analysis and investigations.

Contribution

It introduces a novel approach using link weight and information matrices to assess user closeness in social networks like Orkut.

Findings

Effective in identifying user interaction levels

Useful for social network analysis and investigations

Provides a quantitative measure of user closeness

Abstract

Internet becomes a large and rich repository of information about us as individually. Any thing form user profile information to friends links the user subscribes to are reflection of social interactions as user has in real worlds. Social networking has created new ways to communicate and share information. Social networking websites are being used regularly by millions of people, and it now seems that social networking will be an enduring part of everyday life. Social networks such as Orkut, Bebo, MySpace, Flickr, Facebook, Friendster and LinkedIn, have attracted millions of internet user who are involved in bogging, participatory book reviewing, personal networking and photo sharing. Social network services are increasingly being used in legal and criminal investigations. Information posted on sites such as Orkut and Facebook has been used by police, probation, and university officials to prosecute users of said sites. In some situations, content posted on web social network has been used in court. In the proposed work degree of closeness is identified by link weight approaches and information matrices are generated and matched on the basis of similarity in user profile information. The proposed technique is useful to investigate a user profile and calculate closeness or interaction between users.