Dyer, ME orcid.org/0000-0002-2018-0374, Galanis, A, Goldberg, LA et al. (2 more authors) (2020) Random Walks on Small World Networks. ACM Transactions on Algorithms, 16 (3). 37. ISSN 1549-6325
Abstract
We study the mixing time of random walks on small-world networks modelled as follows: starting with the 2-dimensional periodic grid, each pair of vertices {u,v} with distance d> 1 is added as a “long-range” edge with probability proportional to d-r, where r≥ 0 is a parameter of the model. Kleinberg [33{ studied a close variant of this network model and proved that the (decentralised) routing time is O((log n)2) when r=2 and nΩ (1) when r≠ 2. Here, we prove that the random walk also undergoes a phase transition at r=2, but in this case, the phase transition is of a different form. We establish that the mixing time is ϴ (log n) for r< 2, O((log n)4) for r=2, and nΩ (1) for r> 2.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Small world; conductance; phase transition; random walk; mixing time |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/S016562/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Aug 2020 14:10 |
Last Modified: | 20 Aug 2020 14:10 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Identification Number: | 10.1145/3382208 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164668 |