Imperial College London

ProfessorMauricioBarahona

Faculty of Natural SciencesDepartment of Mathematics

Director of Research, Chair in Biomathematics
 
 
 
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Contact

 

m.barahona Website

 
 
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Location

 

6M31Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Peach:2022:10.1038/s41467-022-30705-w,
author = {Peach, R and Arnaudon, A and Barahona, M},
doi = {10.1038/s41467-022-30705-w},
journal = {Nat Commun},
title = {Relative, local and global dimension in complex networks.},
url = {http://dx.doi.org/10.1038/s41467-022-30705-w},
volume = {13},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Dimension is a fundamental property of objects and the space in which they are embedded. Yet ideal notions of dimension, as in Euclidean spaces, do not always translate to physical spaces, which can be constrained by boundaries and distorted by inhomogeneities, or to intrinsically discrete systems such as networks. To take into account locality, finiteness and discreteness, dynamical processes can be used to probe the space geometry and define its dimension. Here we show that each point in space can be assigned a relative dimension with respect to the source of a diffusive process, a concept that provides a scale-dependent definition for local and global dimension also applicable to networks. To showcase its application to physical systems, we demonstrate that the local dimension of structural protein graphs correlates with structural flexibility, and the relative dimension with respect to the active site uncovers regions involved in allosteric communication. In simple models of epidemics on networks, the relative dimension is predictive of the spreading capability of nodes, and identifies scales at which the graph structure is predictive of infectivity. We further apply our dimension measures to neuronal networks, economic trade, social networks, ocean flows, and to the comparison of random graphs.
AU - Peach,R
AU - Arnaudon,A
AU - Barahona,M
DO - 10.1038/s41467-022-30705-w
PY - 2022///
TI - Relative, local and global dimension in complex networks.
T2 - Nat Commun
UR - http://dx.doi.org/10.1038/s41467-022-30705-w
UR - https://www.ncbi.nlm.nih.gov/pubmed/35654800
UR - http://hdl.handle.net/10044/1/97478
VL - 13
ER -