摘要:We prove logarithmic upper bounds for the diameters of the random-surfer Webgraph model and the PageRank-based selection Webgraph model, confirming the small-world phenomenon holds for them. In the special case when the generated graph is a tree, we get close lower and upper bounds for the diameters of both models.
关键词:random-surfer webgraph model; PageRank-based selection model; smallworld phenomenon; height of random trees; probabilistic analysis; large deviations