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Information Propagation Analysis in a Social Network Site

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3 Author(s)
Magnani, M. ; Dept. of Comput. Sci., Univ. of Bologna, Bologna, Italy ; Montesi, D. ; Rossi, L.

One of the most interesting and still not completely understood phenomena happening in Social Network Sites is their ability to spread (or not) units of information which may aggregate to form large distributed conversations. In this paper we present the result of an empirical study on a Large Social Database (LSD) aimed at measuring the factors enabling information spreading in Social Network Sites.

Published in:

Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on

Date of Conference:

9-11 Aug. 2010