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  Ensemble analysis of complex network properties—an MCMC approach

Pfeffer, O., Molkenthin, N., Hellmann, F. (2022): Ensemble analysis of complex network properties—an MCMC approach. - New Journal of Physics, 24, 123027.
https://doi.org/10.1088/1367-2630/aca955

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 Creators:
Pfeffer, Oskar1, Author              
Molkenthin, Nora1, Author              
Hellmann, Frank1, Author              
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1Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: What do generic networks that have certain properties look like? We use relative canonical network ensembles as the ensembles that realize a property R while being as indistinguishable as possible from a background network ensemble. This allows us to study the most generic features of the networks giving rise to the property under investigation. To test the approach we apply it to study properties thought to characterize 'small-world networks'. We consider two different defining properties, the 'small-world-ness' of Humphries and Gurney, as well as a geometric variant. Studying them in the context of Erdős-Rényi and Watts–Strogatz ensembles we find that all ensembles studied exhibit phase transitions to systems with large hubs and in some cases cliques. Such features are not present in common examples of small-world networks, indicating that these properties do not robustly capture the notion of small-world networks. We expect the overall approach to have wide applicability for understanding network properties of real world interest, such as optimal ride-sharing designs, the vulnerability of networks to cascades, the performance of communication topologies in coordinating fluctuation response or the ability of social distancing measures to suppress disease spreading.

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Language(s): eng - English
 Dates: 2022-12-062022-12-232022-12-23
 Publication Status: Finally published
 Pages: 14
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1367-2630/aca955
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Dynamics, stability and resilience of complex hybrid infrastructure networks
Research topic keyword: Complex Networks
OATYPE: Gold Open Access
MDB-ID: No data to archive
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Title: New Journal of Physics
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 24 Sequence Number: 123027 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1911272
Publisher: IOP Publishing