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A pagerank-based preferential attachment model for the evolution of the world wide web

Abstract

We propose a model of network growth aimed at mimicking the evolution of the World Wide Web. To this purpose, we take as a key quantity, in the network evolution, the centrality or importance of a vertex as measured by its PageRank. Using a preferential attachment rule and a rewiring procedure based on this quantity, we can reproduce most of the topological properties of the system

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PUblication MAnagement

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Last time updated on 27/05/2016

This paper was published in PUblication MAnagement.

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