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- W2591968965 abstract "Abstract In this paper the analysis and modeling 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 database of the users (nickname and profile), and the database of their web navigation sessions. The latter has been obtained from 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." @default.
- W2591968965 created "2017-03-16" @default.
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- W2591968965 date "2003-09-01" @default.
- W2591968965 modified "2023-09-26" @default.
- W2591968965 title "Modeling the relationships between the users DB and the web-log file of a large virtual community" @default.
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- W2591968965 doi "https://doi.org/10.1016/s1474-6670(17)34764-x" @default.
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