Personalized PageRank clustering: a graph clustering algorithm based on random walks
type: Item
instance of: scholarly article
title: Personalized PageRank clustering: a graph clustering algorithm based on random walks
zbMATH Open document ID: 1395.05154
author: Shayan A. Tabrizi
author: Azadeh Shakery
author: Masoud Asadpour
author: Maziar Abbasi
author: Mohammad Ali Tavallaie
published in: Physica A
publication date: 2018-09-11T00:00:00Z
Mathematics Subject Classification ID: 05C81
Mathematics Subject Classification ID: 05C85
Mathematics Subject Classification ID: 60G50
Mathematics Subject Classification ID: 68M11
Mathematics Subject Classification ID: 82B41
zbMATH DE Number: 6935347
zbMATH Keywords: social networks
zbMATH Keywords: clustering
zbMATH Keywords: community detection
zbMATH Keywords: PageRank
zbMATH Keywords: random walks
describes a project that uses: GraphBase
describes a project that uses: Gephi
describes a project that uses: Pregel
MaRDI profile type: Publication
full work available at URL: j.physa.2013.07.021
OpenAlex ID: W2080897802
cites work: Fast unfolding of communities in large networks
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cites work: Towards Scaling Fully Personalized PageRank: Algorithms, Lower Bounds, and Experiments
cites work: Fibonacci heaps and their uses in improved network optimization algorithms
cites work: Q3140399
cites work: Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters
cites work: Computing Communities in Large Networks Using Random Walks
cites work: Distributed Randomized Algorithms for the PageRank Computation
DOI: 10.1016/J.PHYSA.2013.07.021
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description: scientific article; zbMATH DE number 6935347