Journal article
Mean-field approach to evolving spatial networks, with an application to osteocyte network formation
- Abstract:
-
We consider evolving networks in which each node can have various associated properties (a state) in addition to those that arise from network structure. For example, each node can have a spatial location and a velocity, or some more abstract internal property that describes something like social trait. Edges between nodes are created and destroyed, and new nodes enter the system. We introduce a “local state degree distribution” (LSDD) as the degree distribution at a particular point in state...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- American Physical Society Publisher's website
- Journal:
- Physical Review E Journal website
- Volume:
- 96
- Issue:
- 1
- Article number:
- 012301
- Publication date:
- 2017-07-05
- Acceptance date:
- 2017-05-01
- DOI:
- EISSN:
-
2470-0053
- ISSN:
-
2470-0045
Item Description
- Pubs id:
-
pubs:693878
- UUID:
-
uuid:6b2dcba8-49ad-4b46-9466-49fd772dd23c
- Local pid:
- pubs:693878
- Source identifiers:
-
693878
- Deposit date:
- 2017-05-09
Terms of use
- Copyright holder:
- American Physical Society
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 American Physical Society. This is the accepted manuscript version of the article. The final version is available online from American Physical Society at: https://doi.org/10.1103/PhysRevE.96.012301
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