Evaluation of the Reputation Network Using Realistic Distance between Facebook Data

Abstract

In recent years, such SNS services as Facebook, Google+, and Twitter have become very popular. In such services, many sources of information are posted and shared, although user rankings are hardly considered. In this paper, we consider for web pages an evaluation technique, such as HITS and PageRank, for SNS user evaluation applications and propose an algorithm using a user's real distance. We consider various parameters, including user distance, favorites, and the numbers of friends in SNSs in our evaluation technique. We propose a new reputation network to measure the reliability of SNS information.