Journal article
Random walks and diffusion on networks
- Abstract:
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Random walks are ubiquitous in the sciences, and they are interesting from both theoretical and practical perspectives. They are one of the most fundamental types of stochastic processes; can be used to model numerous phenomena, including diffusion, interactions, and opinions among humans and animals; and can be used to extract information about important entities or dense groups of entities in a network. Random walks have been studied for many decades on both regular lattices and (especially...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 1.6MB)
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- Publisher copy:
- 10.1016/j.physrep.2017.07.007
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Authors
Funding
Japan Science and Technology Agency
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Wallonia-Brussels Federation
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Interuniversity Attraction Poles Programme
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Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- Physics Reports Journal website
- Publication date:
- 2017-08-01
- Acceptance date:
- 2017-07-25
- DOI:
- Source identifiers:
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729443
Item Description
- Keywords:
- Pubs id:
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pubs:729443
- UUID:
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uuid:934c5ca5-4b5f-492a-8399-9ed9017615bd
- Local pid:
- pubs:729443
- Deposit date:
- 2017-09-22
Terms of use
- Copyright holder:
- Lambiotte et al
- Copyright date:
- 2017
- Notes:
- © 2017 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Corrections to this article are available at: https://doi.org/10.1016/j.physrep.2018.06.002 and https://doi.org/10.1016/j.physrep.2020.02.005
- Licence:
- CC Attribution (CC BY)
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