Mapping change in higher-order networks with multilevel and overlapping communities

Abstract New network models of complex systems use layers, state nodes, or hyperedges to capture higher-order interactions and dynamics. Simplifying how the higher-order networks change over time or depending on the network model would be easy with alluvial diagrams, which visualize community splits...

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Main Authors: Anton Holmgren, Daniel Edler, Martin Rosvall
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:Applied Network Science
Online Access:https://doi.org/10.1007/s41109-023-00572-5
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author Anton Holmgren
Daniel Edler
Martin Rosvall
author_facet Anton Holmgren
Daniel Edler
Martin Rosvall
author_sort Anton Holmgren
collection DOAJ
description Abstract New network models of complex systems use layers, state nodes, or hyperedges to capture higher-order interactions and dynamics. Simplifying how the higher-order networks change over time or depending on the network model would be easy with alluvial diagrams, which visualize community splits and merges between networks. However, alluvial diagrams were developed for networks with regular nodes assigned to non-overlapping flat communities. How should they be defined for nodes in layers, state nodes, or hyperedges? How can they depict multilevel, overlapping communities? Here we generalize alluvial diagrams to map change in higher-order networks and provide an interactive tool for anyone to generate alluvial diagrams. We use the alluvial diagram generator in three case studies to illustrate significant changes in the organization of science, the effect of modeling network flows with memory in a citation network and distinguishing multidisciplinary from field-specific journals, and the effects of multilayer representation of a collaboration hypergraph.
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spelling doaj.art-294981b41db7406ead0c12f5d099babe2023-07-16T11:12:10ZengSpringerOpenApplied Network Science2364-82282023-07-018111510.1007/s41109-023-00572-5Mapping change in higher-order networks with multilevel and overlapping communitiesAnton Holmgren0Daniel Edler1Martin Rosvall2Integrated Science Lab, Department of Physics, Umeå UniversityIntegrated Science Lab, Department of Physics, Umeå UniversityIntegrated Science Lab, Department of Physics, Umeå UniversityAbstract New network models of complex systems use layers, state nodes, or hyperedges to capture higher-order interactions and dynamics. Simplifying how the higher-order networks change over time or depending on the network model would be easy with alluvial diagrams, which visualize community splits and merges between networks. However, alluvial diagrams were developed for networks with regular nodes assigned to non-overlapping flat communities. How should they be defined for nodes in layers, state nodes, or hyperedges? How can they depict multilevel, overlapping communities? Here we generalize alluvial diagrams to map change in higher-order networks and provide an interactive tool for anyone to generate alluvial diagrams. We use the alluvial diagram generator in three case studies to illustrate significant changes in the organization of science, the effect of modeling network flows with memory in a citation network and distinguishing multidisciplinary from field-specific journals, and the effects of multilayer representation of a collaboration hypergraph.https://doi.org/10.1007/s41109-023-00572-5
spellingShingle Anton Holmgren
Daniel Edler
Martin Rosvall
Mapping change in higher-order networks with multilevel and overlapping communities
Applied Network Science
title Mapping change in higher-order networks with multilevel and overlapping communities
title_full Mapping change in higher-order networks with multilevel and overlapping communities
title_fullStr Mapping change in higher-order networks with multilevel and overlapping communities
title_full_unstemmed Mapping change in higher-order networks with multilevel and overlapping communities
title_short Mapping change in higher-order networks with multilevel and overlapping communities
title_sort mapping change in higher order networks with multilevel and overlapping communities
url https://doi.org/10.1007/s41109-023-00572-5
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