A Study on Link Prediction Algorithm Based on Users’ Privacy Information in the Weighted Social Network

Abstract

With the rapid development of information technology, more and more people join in social network. People are willing to share their information in the network to develop their contacts. Social network is reflection of real social relations. Many scholars have shown keen interest in this field. Link Prediction Algorithm is one of the important research direction. Interaction between users and the privacy information existing among individual users greatly affects the accuracy of link prediction. This paper firstly does network weighted processing by using some interactive behavior characteristics of social network users. Then through considering the user’s privacy information and analyzing the users’ interest preference, the paper provides a weighted directed network link prediction algorithm. Finally, the simulation experiment shows that this algorithm has high prediction accuracy.