Damping factor in Google page ranking

Hwai Hui Fu, Dennis K.J. Lin, Hsien Tang Tsai

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


Google, the largest search engine worldwide, adopts PageRank technology to determine the rank of website listings. This paper describes how damping factor is a critical factor in changing a website's ranking in traditional Google PageRank technology. A modified algorithm based on input-output ratio concept is proposed to substitute for the damping factor. Besides there is no need to choose an optimal damping factor value, the modified algorithm has an equivalent effect on computation as the traditional Google's PageRank algorithm.

Original languageEnglish (US)
Pages (from-to)431-444
Number of pages14
JournalApplied Stochastic Models in Business and Industry
Issue number5-6
StatePublished - Sep 2006

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • General Business, Management and Accounting
  • Management Science and Operations Research


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