Mapping nonlocal relationships between metadata and network structure with metadata-dependent encoding of random walks
15 pages, 15 figures.
| Autores: | , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/305405 |
| Acesso em linha: | http://hdl.handle.net/10261/305405 http://arxiv.org/abs/2111.05158v1 |
| Access Level: | acceso abierto |
| Palavra-chave: | Statistics and Probability Computer Science Information theory Mathematics Data analysis |
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Mapping nonlocal relationships between metadata and network structure with metadata-dependent encoding of random walksBassolas, AleixHolmgren, AntonMarot, AntoineRosvall, MartinNicosia, VincenzoStatistics and ProbabilityComputer ScienceInformation theoryMathematicsData analysis15 pages, 15 figures.Integrating structural information and metadata, such as gender, social status, or interests, enriches networks and enables a better understanding of the large-scale structure of complex systems. However, existing approaches to augment networks with metadata for community detection only consider immediately adjacent nodes and cannot exploit the nonlocal relationships between metadata and large-scale network structure present in many spatial and social systems. Here, we develop a flow-based community detection framework based on the map equation that integrates network information and metadata of distant nodes and reveals more complex relationships. We analyze social and spatial networks and find that our methodology can detect functional metadata-informed communities distinct from those derived solely from network information or metadata. For example, in a mobility network of London, we identify communities that reflect the heterogeneity of income distribution, and in a European power grid network, we identify communities that capture relationships between geography and energy prices beyond country borders.A.B. acknowledges funding from the Juan de la Cierva program under grant no. FJC2019-038958-I, the Spanish Ministry of Universities, the European Union–NextGenerationEU, the Recovery, Transformation and Resilience Plan, and the University of the Balearic Islands. A.H. was supported by the Swedish Foundation for Strategic Research, grant no. SB16-0089. M.R. was supported by the Swedish Research Council grant no. 2016-00796. V.N. acknowledges support from the EPSRC New Investigator Award grant no. EP/S027920/1.Peer reviewedAmerican Association for the Advancement of ScienceMinisterio de Ciencia e Innovación (España)European CommissionUniversidad de Las Islas BalearesSwedish Foundation for Strategic ResearchSwedish Research CouncilEngineering and Physical Sciences Research Council (UK)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/305405http://arxiv.org/abs/2111.05158v1reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MICINN//FJC-2019-038958-IThe underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1126/sciadv.abn7558https://doi.org/10.1126/sciadv.abn7558Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3054052026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Mapping nonlocal relationships between metadata and network structure with metadata-dependent encoding of random walks |
| title |
Mapping nonlocal relationships between metadata and network structure with metadata-dependent encoding of random walks |
| spellingShingle |
Mapping nonlocal relationships between metadata and network structure with metadata-dependent encoding of random walks Bassolas, Aleix Statistics and Probability Computer Science Information theory Mathematics Data analysis |
| title_short |
Mapping nonlocal relationships between metadata and network structure with metadata-dependent encoding of random walks |
| title_full |
Mapping nonlocal relationships between metadata and network structure with metadata-dependent encoding of random walks |
| title_fullStr |
Mapping nonlocal relationships between metadata and network structure with metadata-dependent encoding of random walks |
| title_full_unstemmed |
Mapping nonlocal relationships between metadata and network structure with metadata-dependent encoding of random walks |
| title_sort |
Mapping nonlocal relationships between metadata and network structure with metadata-dependent encoding of random walks |
| dc.creator.none.fl_str_mv |
Bassolas, Aleix Holmgren, Anton Marot, Antoine Rosvall, Martin Nicosia, Vincenzo |
| author |
Bassolas, Aleix |
| author_facet |
Bassolas, Aleix Holmgren, Anton Marot, Antoine Rosvall, Martin Nicosia, Vincenzo |
| author_role |
author |
| author2 |
Holmgren, Anton Marot, Antoine Rosvall, Martin Nicosia, Vincenzo |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Ministerio de Ciencia e Innovación (España) European Commission Universidad de Las Islas Baleares Swedish Foundation for Strategic Research Swedish Research Council Engineering and Physical Sciences Research Council (UK) Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Statistics and Probability Computer Science Information theory Mathematics Data analysis |
| topic |
Statistics and Probability Computer Science Information theory Mathematics Data analysis |
| description |
15 pages, 15 figures. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022 2023 2023 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/305405 http://arxiv.org/abs/2111.05158v1 |
| url |
http://hdl.handle.net/10261/305405 http://arxiv.org/abs/2111.05158v1 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MICINN//FJC-2019-038958-I The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1126/sciadv.abn7558 https://doi.org/10.1126/sciadv.abn7558 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
American Association for the Advancement of Science |
| publisher.none.fl_str_mv |
American Association for the Advancement of Science |
| dc.source.none.fl_str_mv |
reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869402514943639552 |
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15,812429 |