Social topology analyzed

Authors:
Njål T. Borch;Anders Andersen;Lars K. Vognild
Affiliations:
Norut AS, Tromsø, Norway;Department of Computer Science, University of Tromsø, Norway;Norut AS, Tromsø, Norway
Venue:
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Year:
2007

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Abstract

It is an aspiring trend that Internet users not only consume, but also produce and share content. This leads to content of great diversity. Personalized navigation is an approach to correctly discover interesting content for the user. This navigation can be based on both search and recommendation systems. The Socialized.Net is a social Peer-to-Peer network infrastructure supporting personalized navigation. In this paper, a data trace of a popular file sharing site is analyzed and shown to have semantically close users. The data trace is further used for simulations in The Socialized.Net. Evidence is given that a fully distributed social network can be created based on traffic analysis. This can provide a powerful platform for personalized content navigation.