Encapsulation structure and dynamics in hypergraphs

Hypergraphs have emerged as a powerful modeling framework to represent systems with multiway interactions, that is systems where interactions may involve an arbitrary number of agents. Here we explore the properties of real-world hypergraphs, focusing on the encapsulation of their hyperedges, which...

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Main Authors: Timothy LaRock, Renaud Lambiotte
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Journal of Physics: Complexity
Subjects:
Online Access:https://doi.org/10.1088/2632-072X/ad0b39
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author Timothy LaRock
Renaud Lambiotte
author_facet Timothy LaRock
Renaud Lambiotte
author_sort Timothy LaRock
collection DOAJ
description Hypergraphs have emerged as a powerful modeling framework to represent systems with multiway interactions, that is systems where interactions may involve an arbitrary number of agents. Here we explore the properties of real-world hypergraphs, focusing on the encapsulation of their hyperedges, which is the extent that smaller hyperedges are subsets of larger hyperedges. Building on the concept of line graphs, our measures quantify the relations existing between hyperedges of different sizes and, as a byproduct, the compatibility of the data with a simplicial complex representation–whose encapsulation would be maximum. We then turn to the impact of the observed structural patterns on diffusive dynamics, focusing on a variant of threshold models, called encapsulation dynamics, and demonstrate that non-random patterns can accelerate the spreading in the system.
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institution Kabale University
issn 2632-072X
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series Journal of Physics: Complexity
spelling doaj-art-d16ac85508a040b0944a48c91847448b2025-01-27T14:42:28ZengIOP PublishingJournal of Physics: Complexity2632-072X2023-01-014404500710.1088/2632-072X/ad0b39Encapsulation structure and dynamics in hypergraphsTimothy LaRock0https://orcid.org/0000-0003-0801-3917Renaud Lambiotte1https://orcid.org/0000-0002-0583-4595Mathematical Institute, University of Oxford , Oxford, United KingdomMathematical Institute, University of Oxford , Oxford, United Kingdom; Turing Institute , London, United KingdomHypergraphs have emerged as a powerful modeling framework to represent systems with multiway interactions, that is systems where interactions may involve an arbitrary number of agents. Here we explore the properties of real-world hypergraphs, focusing on the encapsulation of their hyperedges, which is the extent that smaller hyperedges are subsets of larger hyperedges. Building on the concept of line graphs, our measures quantify the relations existing between hyperedges of different sizes and, as a byproduct, the compatibility of the data with a simplicial complex representation–whose encapsulation would be maximum. We then turn to the impact of the observed structural patterns on diffusive dynamics, focusing on a variant of threshold models, called encapsulation dynamics, and demonstrate that non-random patterns can accelerate the spreading in the system.https://doi.org/10.1088/2632-072X/ad0b39higher-order networkshypergraphsline graphs
spellingShingle Timothy LaRock
Renaud Lambiotte
Encapsulation structure and dynamics in hypergraphs
Journal of Physics: Complexity
higher-order networks
hypergraphs
line graphs
title Encapsulation structure and dynamics in hypergraphs
title_full Encapsulation structure and dynamics in hypergraphs
title_fullStr Encapsulation structure and dynamics in hypergraphs
title_full_unstemmed Encapsulation structure and dynamics in hypergraphs
title_short Encapsulation structure and dynamics in hypergraphs
title_sort encapsulation structure and dynamics in hypergraphs
topic higher-order networks
hypergraphs
line graphs
url https://doi.org/10.1088/2632-072X/ad0b39
work_keys_str_mv AT timothylarock encapsulationstructureanddynamicsinhypergraphs
AT renaudlambiotte encapsulationstructureanddynamicsinhypergraphs