Pagerank algorithm improvement by page relevance measurement

Yen, Chien-Chang; Hsu, Jih-Shih

doi:10.1109/fuzzy.2009.5277414

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2012

2022

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Cited by 6 publications

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“…There was an important research investment during at least 10 years on PageRank algorithm and related topics (cf. [22,7,14,20,17,19,4,13,2,8,23]), but there were few results concerning the original PageRank algorithm modification.…”

Section: Introductionmentioning

confidence: 99%

Statistical reliability and path diversity based PageRank algorithm improvements

Hong¹

2012

Preprint

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In this paper we present new improvement ideas of the original PageRank algorithm. The first idea is to introduce an evaluation of the statistical reliability of the ranking score of each node based on the local graph property and the second one is to introduce the notion of the path diversity. The path diversity can be exploited to dynamically modify the increment value of each node in the random surfer model or to dynamically adapt the damping factor. We illustrate the impact of such modifications through examples and simple simulations.

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