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On the relationship between PageRank and automorphisms of a graph
- Source :
- Information Sciences. 579:401-417
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- PageRank is an algorithm used in Internet search to score the importance of web pages. The aim of this paper is demonstrate some new results concerning the relationship between the concept of PageRank and automorphisms of a graph. In particular, we show that if vertices u and v are similar in a graph G (i.e., there is an automorphism mapping u to v), then u and v have the same PageRank score. More generally, we prove that if the PageRanks of all vertices in G are distinct, then the automorphism group of G consists of the identity alone. Finally, the PageRank entropy measure of several kinds of real-world networks and all trees of orders 10–13 and 22 is investigated.
- Subjects :
- Automorphism group
Information Systems and Management
InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL
Automorphism
Measure (mathematics)
Computer Science Applications
Theoretical Computer Science
law.invention
Combinatorics
Identity (mathematics)
PageRank
Artificial Intelligence
Control and Systems Engineering
law
Web page
Graph (abstract data type)
Entropy (information theory)
Software
MathematicsofComputing_DISCRETEMATHEMATICS
Mathematics
Subjects
Details
- ISSN :
- 00200255
- Volume :
- 579
- Database :
- OpenAIRE
- Journal :
- Information Sciences
- Accession number :
- edsair.doi...........9b62b681672a0f74461856448b59cb35
- Full Text :
- https://doi.org/10.1016/j.ins.2021.08.013