Analysing the community structure on social networks

Social Networks contain useful knowledge about the relationships between actors that they include. By the help of the analysis of these relationships one can determine the relations such as closeness, similaritiy, trends and interactions and can have some precious estimations and comments about the network. Especially, the technical and cultural developments of internet technologies make the communication data on social networks concrete and computable. The data which is formed as a result of social communication on the Internet reaching huge amounts. Usage of Web Mining Techniques are popular to resolve the useful information from that chaotic data pile. Analyzing digital social networks with the help of web mining techniques and reaching valuable academical, commercial and sociological knowledge has been a very remarkable subject of the study.In this study, in general terms about the analysis of social networks by the help of web mining techniques and methods are studied. Using "Web Structure Mining", which is one of the web mining techniques, a different approach to the common methods of citation analysis is presented in order to predict the similarity between academical documents regardless of content similarity. The results obtained via the bibliographic data set are compared with existing methods.