Identification of Anonymous User in Social Media Network through Profile and Friendship

In social media networks (SMN), profile details of one user can be used by others to create account with original user identity or the original user may have multiple accounts in multiple social media sites. Discovery of multiple accounts that belong to the same person is an interesting and challenging work in social media analysis. Contents and network structures can be used for user identification in social media sites. The main idea of this paper is to identify alias and identical accounts by merging multiple SMN in order to get complete information about a particular user. This paper develops a methodology Profile and Friend Relationship-Based Anonymous User Identification (PFRAUI) algorithm for mapping individuals on cross application SMN’s. The friend cycle of every individual differs therefore, accuracy of this result will be maintained if use friend list as a key component to analyze cross application social media networks. It also combines profile attributes to match the users. The combination of profile and friends relationship based method efficiently identifies the anonymous users. Results of extensive experiments demonstrate that PFRAUI performs much better than current network structure-based algorithms.