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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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Publisher copy:
10.1103/PhysRevE.96.012301

Authors


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Institution:
University of Oxford
Oxford college:
Mansfield College
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
Publisher:
American Physical Society
Journal:
Physical Review E More from this journal
Volume:
96
Issue:
1
Article number:
012301
Publication date:
2017-07-05
Acceptance date:
2017-05-01
DOI:
EISSN:
2470-0053
ISSN:
2470-0045
Pubs id:
pubs:693878
UUID:
uuid:6b2dcba8-49ad-4b46-9466-49fd772dd23c
Local pid:
pubs:693878
Source identifiers:
693878
Deposit date:
2017-05-09

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