Toward Semantic Social Network Analysis for Business Big Data

This paper first presents results of our three recent research projects on using social network analysis (SNA) techniques to analyze business big data involving stock data, trading data, and business contract data. The analysis on historical stock data identifies alternative representative indexing stock groups. The analysis on high frequency trading data establishes new algorithms for more effective high frequency trading. The analysis on business contract networks studies relationships between companies' contracts and their performance in profits and stock levels. The paper then discusses approaches to incorporating explicit semantics into conventional social networks and extending standard social network analysis techniques to more effective semantics-based analysis.