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- W1601163039 abstract "The advent of Internet and World Wide Web has led to unprecedent growth of the information available. People usually face the information overload by following a limited number of sources which best fit their interests. In order to get the picture it is important to address issues like who people do follow and how they search for better information sources. In this work we conduct an empirical analysis on different on-line social networking sites, and draw inspiration from its results to present different source selection strategies in an adaptive model for social recommendation. We show that local search rules which enhance the typical topological features of real social communities give rise to network configurations that are globally optimal. Hence these abstract rules help to create networks which are both effective in information diffusion and people friendly." @default.
- W1601163039 created "2016-06-24" @default.
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- W1601163039 date "2011-07-22" @default.
- W1601163039 modified "2023-09-24" @default.
- W1601163039 title "Adaptive topology evolution in information-sharing social networks" @default.
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- W1601163039 hasPublicationYear "2011" @default.
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