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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 thedoi:10.22531/muglajsci.348054 fatcat:g3jetytxcffg3ipue2bbxwicdq