Abstract :This study aimed to determine the similarities between researchers registered with ARBİS system by using data mining and social network analysis methods. A researcher registered with the ARBIS system can access the information of other researchers -those have common research fields- by using the query service on the system. However, since the querying can only be done according to scientific research areas only, the information of hundreds of people is listed. A researcher cannot identify the researchers those have common research fields by examining the list. Thanks to our proposed approach, when a researcher's name is searched, the most similar thirty researchers are shown with a network graph. Thus, the researcher visually examines the degree of closeness of the person closer to him and, if necessary, can contact with him. The following technologies were used to develop this application: MySQL for data storage, PHP for backend programming, R for data analysis and data mining, and D3js JavaScript library for data visualization. Keywords : Data Mining, Search Engines, Data Visualization