using the theory of network in finance

it is very important for managers, investors and financial policy-makers to detect and analyze factors affecting financial markets to obtain optimal decision and reduce risks. the importance of market analysis and attempt to improve its behavior understanding, has led analysts to use the experiences of other professionals in the fields such as social sciences and mathematics to examine the interaction of market in a different way. this article reviews the use of networks and graph theory to analyze the behavior of social and financial phenomena that in recent years has been expanded. first, the original of this theory that donate from discrete mathematics, is introduced and then some details are given about the characteristics of a network, such as power law property, scale-free networks and minimum spanning tree. the results show that financial markets dynamics have caused the dynamically development of the approaches, methods and models of market analysis, so the effect of investment opportunities on each other was evaluated to identify market behavior