Analysis of node2vec random walks on networks

DOI10.1098/rspa.2020.0447zbMath1473.90053arXiv2006.04904OpenAlexW3035409833WikidataQ104574384 ScholiaQ104574384MaRDI QIDQ5161172

Lingqi Meng, Naoki Masuda

Publication date: 29 October 2021

Published in: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2006.04904

zbMATH Keywords

diffusionrelaxation timestatistical physicscommunity structuresecond-order Markov chainapplied mathematicscoalescence timering network

Mathematics Subject Classification ID

Stochastic network models in operations research (90B15) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)

Related Items (1)

Epidemic dynamics on metapopulation networks with node2vec mobility

Uses Software

• node2vec

Cites Work

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• NON-BACKTRACKING RANDOM WALKS MIX FASTER
• Algebraic Graph Theory
• Networks
• Multilayer Networks
• Collective dynamics of ‘small-world’ networks
• Ego‐centered and local roles: A graph theoretic approach

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