Data-Mining of a Large Virtual Community: Relationships Between the Users DB and the Web-Log File
S.M. Savaresi, Simone Garatti, S. Bittanti, Luca Brocca · 2003
In this paper the analysis and Data-Mining of a large data-set related to a very popular Italian Virtual Community is presented. The Community is constituted by more than half-million registered users, characterized by a unique nickname. Each user has its own profile, which is filled during the registration procedure, on a voluntary basis. Two data-sets are used: the Data-Base of the Users, and the log-file of the servers hosting the Community web-site. This work is constituted by three main parts: 1) analysis and clustering of the Users DB; 2) analysis and clustering of the navigation sessions; 3) correlation of Users clusters and navigation sessions clusters. This analysis provides a complete and full-rounded picture of the Virtual Community Users.