A novel method of data correlation analysis of the big data based on network clustering algorithm

Nowadays, with the development of information diversification and complex relationship among the information data, heterogeneous and cyberization are the main trends of the big data. Therefore, how to analyze and manage the data based on network analysis is one of the most urgent problems. In this paper, we analyzed the trends and networking characteristics of current information data development. With the analysis of current information data and the dimension of the relationship, we mined the network characteristic of the information data. From the networking dimension of the data, based on the heterogeneous network and social network, we studied the proposal method of data correlation to solve the problems in clustering, personal query and social network prediction.