Stock correlation networks were developed using mutual information to explore relationships between stocks. Mutual information was found to be more effective than the traditional correlation coefficient in measuring these relationships. The network based on mutual information showed better distribution of connections and a higher power-law distribution value compared to the one based on the correlation coefficient.