PageRank Algorithm using Eigenvector Centrality -- New Approach
Social and Information Networks
2022-01-24 v3 Information Retrieval
Abstract
The purpose of the research is to find a centrality measure that can be used in place of PageRank and to find out the conditions where we can use it in place of PageRank. After analysis and comparison of graphs with a large number of nodes using Spearman's Rank Coefficient Correlation, the conclusion is evident that Eigenvector can be safely used in place of PageRank in directed networks to improve the performance in terms of the time complexity.
Keywords
Cite
@article{arxiv.2201.05469,
title = {PageRank Algorithm using Eigenvector Centrality -- New Approach},
author = {Suvarna Saumya Chandrashekhar and Mashrin Srivastava and B. Jaganathan and Pankaj Shukla},
journal= {arXiv preprint arXiv:2201.05469},
year = {2022}
}