Abstract
We propose a model for the World Wide Web graph that couples the topological growth with the traffic's dynamical evolution. The model is based on a simple traffic-driven dynamics and generates weighted directed graphs exhibiting the statistical properties observed in the Web. In particular, the model yields a non-trivial time evolution of vertices and heavy-tail distributions for the topological and traffic properties. The generated graphs exhibit a complex architecture with a hierarchy of cohesiveness levels similar to those observed in the analysis of real data. © Springer-Verlag 2004.
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CITATION STYLE
Barrat, A., Barthélemy, M., & Vespignani, A. (2004). Traffic-driven model of the world wide web graph. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3243, 56–67. https://doi.org/10.1007/978-3-540-30216-2_5
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