The aim of the thesis is to test the validity of the statement &ldquo / Tourism income of Alanya is under a serious threat of decline&rdquo / raised by Alanya Chamber of Commerce and Industry, considering clustering approach. During the thesis a model is proposed in order to achieve this goal. In order to better identify Turkey and Alanya, an initial analysis aiming to gather information in the light of several economic indicators is carried out. This analysis also includes qualitative &amp / quantitative information collection about several aspects of Alanya such as population, transportation, health, and communication. Tourism is mentioned especially. Following, a model is built on Alanya in order to test the validity of the problem raised by Alanya Chamber of Commerce and Industry. The steps of the model includes investigation of the symptoms, SWOT analysis handling Alanya in terms of tourism, determination of the current tourism network structure in Alanya and the comparison of this structure with the network structure proposed in 2003 by METU IE System Design Senior Students. Main outcomes are interesting / the symptoms show that, Average Expenditure per Tourist (AEPT) value does not improve much, although number of tourists visiting Alanya has increased over the years. Mathematical analysis shows that, overall density of the current network structure of Alanya is only 0.0465 over 1.00. Its implication is that, the network is under-developed. But when compared with the study performed in 2003, it is possible to see a trend to self-develop. From 2003 to 2005, closeness and betweenness values, which evaluate the proximity and centrality of the members within the cluster, have increased. Also the diameter of the network evaluating number and variety of the linkages within the cluster has increased from 6 to 9. All these tell that, Alanya Chamber of Commerce and Industry may have a point to raise such a statement / however the region&rsquo / s self-development by the side networks from 2003 to 2005 creates value for clustering approach.