Block & Comovement Effect of Stock Market in Financial Complex Network

In the work, we present a method to analyze block & comovement effect of stock market by finding out the community structure in the financial complex network. We choose the stocks from Shanghai and Shenzhen 300 Index as data source and convert them into the complex network in matrix format which is based on the measurements of correlation we proposed in this paper. The classical GN algorithm and the Net Draw tool are applied to obtain the modularity and draw all the community structures. The results of our work can offer not only the internal information about the capital flows in the stock market but also the prediction of variation and trend line of some stocks with delay-correlation.