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PageRank Algorithm using Eigenvector Centrality -- New Approach

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.

preprint2022arXivOpen access
Suvarna Saumya ChandrashekharMashrin SrivastavaB. JaganathanPankaj Shukla
Social and Information NetworksInformation Retrieval
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Open access4 authors2 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Suvarna Saumya ChandrashekharMashrin SrivastavaB. JaganathanPankaj Shukla

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