Preprint
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- Not peer reviewed
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- Files:
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(Preview, Author's original, pdf, 4.9MB, Terms of use)
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- Preprint server copy:
- 10.48550/arXiv.2503.18823
Authors
+ Economic and Social Research Council
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- Funder identifier:
- https://ror.org/03n0ht308
- Grant:
- 2262660
+ Engineering and Physical Sciences Research Council
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:
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2122583
- Local pid:
-
pubs:2122583
- Deposit date:
-
2025-06-10
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