Growing scale-free simplices

Kiriil Kovalenko; Irene Sendiña-Nadal; Nagi Khalil; Alex Dainiak; Daniil Musatov; Andrei M. Raigorodskii; Karin Alfaro-Bittner; Baruch Barzel; Stefano Boccaletti

doi:10.1038/s42005-021-00538-y

Communications Physics (Mar 2021)

Growing scale-free simplices

Kiriil Kovalenko,
Irene Sendiña-Nadal,
Nagi Khalil,
Alex Dainiak,
Daniil Musatov,
Andrei M. Raigorodskii,
Karin Alfaro-Bittner,
Baruch Barzel,
Stefano Boccaletti

Affiliations

Kiriil Kovalenko: Moscow Institute of Physics and Technology, National Research University
Irene Sendiña-Nadal: Complex Systems Group & GISC, Universidad Rey Juan Carlos
Nagi Khalil: ESCET & GISC, Universidad Rey Juan Carlos
Alex Dainiak: Russian Academy of National Economy and Public Administration
Daniil Musatov: Moscow Institute of Physics and Technology, National Research University
Andrei M. Raigorodskii: Moscow Institute of Physics and Technology, National Research University
Karin Alfaro-Bittner: Unmanned Systems Research Institute, Northwestern Polytechnical University
Baruch Barzel: Department of Mathematics, Bar-Ilan University
Stefano Boccaletti: Moscow Institute of Physics and Technology, National Research University

DOI: https://doi.org/10.1038/s42005-021-00538-y
Journal volume & issue: Vol. 4, no. 1
pp. 1 – 9

Abstract

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Higher-order networks including many-body interactions among nodes are ubiquitous in complex systems. The authors propose several growing mechanisms which are able to generate synthetic simplicial complexes displaying desired and customized statistical properties fitting those observed in the real world.

Published in Communications Physics

ISSN: 2399-3650 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Astronomy: Astrophysics; Science: Physics
Website: https://www.nature.com/commsphys/

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