Systems involving interactive actors such as food networks, scientific quotations, social networks, communications networks, the Internet and stock exchange networks have long been studied by many researchers under the concept of complex systems. Such systems are represented by weighted networks. The intensive connections and relationships between actors play a crucial role in forecasting or risk analysis. In this study; we propose a new approach to measure the hierarchical structure of the

more »

... ally active stock market network. In this approach we propose, the relationship of 21 different world stock exchange markets to each other is determined by Pearson's correlations. Relevant stock network is based on a certain threshold value. At the same time, a new topological measure is used to characterize the interaction of the nodes of the graphical communities of the stock market, and this measure is examined for the time periods of 2008 global economic crisis.