Beyond Googleâ€™s PageRank: Complex Number-based Calculations for Node Ranking

Keita Sugihara

Beyond Google’s PageRank: Complex Number-based Calculations for Node Ranking

Keita Sugihara * §

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Nanzan University

Beyond Google’s PageRank: Complex Number-based Calculations for Node Ranking

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Abstract

This study is focused on a proposed alternative algorithm for Google’s PageRank, named Hermitian centrality score, which employs complex numbers for scoring a node of the network to overcome the issues of PageRank’s link analysis. This study presents the Hermitian centrality score as a solution for the problems of PageRank, which are associated with the damping factor of Google’s algorithm. The algorithm for Hermitian centrality score is designed to be free from a damping factor, and it reproduces PageRank results well. Moreover, the proposed algorithm can mathematically and systematically change the point of a node of a network.

References

13 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Keita Sugihara. 2019. "Beyond Google’s PageRank: Complex Number-based Calculations for Node Ranking". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 19 (GJCST Volume 19 Issue E3).

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GJCST Volume 19 Issue E3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-E Classification F.2.1

Submission ReceivedDecember 11, 2018
Peer Review Double Blind
Handling Editor
Accepted January 1, 2019
Published January 15, 2019

Version of record

v1.2

Issue date

October 14, 2019

Language

English

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Article Matrices

Total Score: 186

Country: Japan

Subject: Global Journal of Computer Science and Technology

Authors: Keita Sugihara (PhD/Dr. count: 0)

View Count (all-time): 353

Total Views (Real + Logic): 1465

Total Downloads (simulated): 101

Publish Date: 2019 01, Tue

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Total Views: 1.5K

Total Downloads: 101

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