Measuring Entanglement in Physical Networks

The links of a physical network cannot cross, which often forces the network layout into nonoptimal entangled states. Here we define a network fabric as a two-dimensional projection of a network and propose the average crossing number as a measure of network entanglement. We analytically derive the dependence of the average crossing number on network density, average link length, degree heterogeneity, and community structure and show that the predictions accurately estimate the entanglement of both network models and of real physical networks.

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Publication Details

Journal
Physical Review Letters
Published
2024-08-13
DOI
https://doi.org/10.1103/physrevlett.133.077401
Citations
11
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
3.09

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article

Measuring Entanglement in Physical Networks

Albert-Ĺaszló Barabási, Cory Glover
11 citations
Physical Review Letters
Complex Network Analysis Techniques
3.09
article

Measuring Entanglement in Physical Networks

Albert-Ĺaszló Barabási, Cory Glover
article en
11 citations

Abstract

The links of a physical network cannot cross, which often forces the network layout into nonoptimal entangled states. Here we define a network fabric as a two-dimensional projection of a network and propose the average crossing number as a measure of network entanglement. We analytically derive the dependence of the average crossing number on network density, average link length, degree heterogeneity, and community structure and show that the predictions accurately estimate the entanglement of both network models and of real physical networks.

Physical Review LettersVol. 133(7)
Brigham and Women's Hospital (US), Northeastern University (US), Harvard University (US), Central European University (AT), Universidad del Noreste (MX)
National Science Foundation, Horizon 2020 Framework Programme
Openalex Percentile: Top 8%
Complex Network Analysis Techniques
3.09
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