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Coarse-graining directed networks with ergodic sets preserving diffusive dynamics

Abstract:
In this paper, we introduce ergodic sets, subsets of nodes of the networks that are dynamically disjoint from the rest of the network (i.e. that can never be reached or left following to the network dynamics). We connect their definition to purely structural considerations of the network and study some of their basic properties. We study numerically the presence of such structures in a number of synthetic network models and in classes of networks from a variety of real-world applications, and we use them to present a compression algorithm that preserve the random walk diffusive dynamics of the original network.
Publication status:
Published
Peer review status:
Not peer reviewed

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Preprint server copy:
10.48550/arXiv.2503.18823

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Oxford college:
Somerville College
Role:
Author
ORCID:
0000-0002-0583-4595


More from this funder
Funder identifier:
https://ror.org/03n0ht308
Grant:
2262660
More from this funder
Funder identifier:
https://ror.org/0439y7842
Grant:
EP/Y028872/1
EP/V013068/1


Preprint server:
arXiv
Publication date:
2025-03-24
DOI:


Language:
English
Pubs id:
2122583
Local pid:
pubs:2122583
Deposit date:
2025-06-10

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