The Google PageRank Algorithm
Authors
*Corresponding author.
Email: aallisonhjyy@gmail.com
Corresponding Author
Jiyu He
Available Online 10 August 2023.
- DOI
- 10.2991/978-94-6463-198-2_43How to use a DOI?
- Keywords
- PageRank; Markov chain; Random walk
- Abstract
The original purpose of Google's PageRank algorithm is to assess the significance of web pages based on their link structure. However, based on the principle of PageRank, it could be used to any network or graph in any domain, also over time it has been developed for social network analysis, link recommendation, and prediction. In this article we will discuss the math behind PageRank and its basic implementation, examine how these various applications are related mathematically and conceptually, and some lacks this classical web computing algorithm has.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jiyu He PY - 2023 DA - 2023/08/10 TI - The Google PageRank Algorithm BT - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023) PB - Atlantis Press SP - 417 EP - 422 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-198-2_43 DO - 10.2991/978-94-6463-198-2_43 ID - He2023 ER -