Social Network Visualization Method using Inherence Relationship of User Based on Cloud

Abstract

Most of social network visualization methods have been only focusing on presentation of social network relationship. However, the methods do not consider an efficient processing speed and computational complexity for increasing at the ratio of arithmetical of a big data regarding social network. This paper proposes a cloud based on visualization method to visualize an inherence relationship of user on social network. The proposed method can intuitionally understand the user's social relationship since the method uses correlation matrix to represent a hierarchical relationship of user nodes of social network. It also can easily identify a key role relationship of users on social network. In addition, the method uses Hadoop based on cloud for distributed parallel processing of visualization algorithm, which it can expedite the big data of social network.