We propose a model of network growth aimed at mimicking the evolution of theWorld 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. Copyright © EPLA, 2010.
A PageRank-based preferential attachment model for the evolution of the World Wide Web
Caldarelli G.
2010-01-01
Abstract
We propose a model of network growth aimed at mimicking the evolution of theWorld 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. Copyright © EPLA, 2010.
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