Erisa Terolli

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In this paper we introduce a mathematical model that captures some of the salient features of recommender systems that are based on popularity and that try to exploit social ties among the users. We show that, under very general conditions, the market always converges to a steady state, for which we are able to give an explicit form. Thanks to this we can(More)
We introduce Tiered Sampling, a novel<lb>technique for approximate counting sparse motifs in<lb>massive graphs whose edges are observed in a stream.<lb>Our technique requires only a single pass on the data<lb>and uses a memory of fixed size M , which can be<lb>magnitudes smaller than the number of edges.<lb>Our methods addresses the challenging task(More)
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