Özet:

This paper analyzes industrial sectors in Turkey through clustering sectors according to bank credits under perspective of econophysics. We study the behavior of the industries which take bank credits during the period of 2010/06–2016/06 based on network theory, using clustering methodology that identifies groups of industry with similar profiles. The fundamental aim of industry analysis is to figure out how the banking sector of Turkey makes impacts on different industries and establish enhanced sectors. By taking the sector classification as a benchmark partition, we evaluate how the different methods affect this classification. We utilized from two clustering methods: K-means Clustering and Fuzzy C- means Clustering. 

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