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Mining the Potential Collaborative Relationships Based on the Author Keyword Coupling Analysis and Social Network Analysis

This study aims at explore and discover the potential collaborative relationship for big data privacy and security literature. We collected data from Web of Science and EI Engineering Village 2 and analysed the data by using social network analysis, author keyword coupling analysis, TF-IDF, co-word analysis and cluster analysis. We find 1,380 collaborative articles from the total number of 1,645 papers. However, 90.92% of all authors published one paper, so it also means that it is valuable to research the potential relationships. The integrity of the entire network is relatively small, interpersonal communication is not too close, but it has a significant potential space for collaboration. Finally, we find many authors have the potential collaborative relationships.