The European community of law and the communities of case-law : understanding legal concepts and processes through the lens of community detection algorithms

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dc.contributor.authorSADL, Urska
dc.contributor.authorLÓPEZ ZURITA, Lucía
dc.contributor.authorPICCOLO, Sebastiano
dc.date.accessioned2024-12-09T15:11:55Z
dc.date.available2024-12-09T15:11:55Z
dc.date.issued2024
dc.descriptionPublished online: 09 December 2024en
dc.description.abstractCommunity detection is a set of algorithms developed in network science to find meaningful sub-groups within larger groups. This article (1) outlines and evaluates the method and (2) shows how it can enrich ongoing debates about European integration. To this end, it uses the example of the approximation of laws, an enduring topic in European legal studies.en
dc.description.sponsorshipThis article was published Open Access with the support from the EUI Library through the CRUI - CUP Transformative Agreement (2023-2025)en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationEuropean law open, 2024, Vol. 3, No. 2, pp. 431-455en
dc.identifier.doi10.1017/elo.2024.27
dc.identifier.endpage455en
dc.identifier.issn2752-6135
dc.identifier.issue2en
dc.identifier.startpage431en
dc.identifier.urihttps://hdl.handle.net/1814/77612
dc.identifier.volume3en
dc.language.isoenen
dc.orcid.uploadtrue*
dc.publisherCambridge University Pressen
dc.relation.ispartofEuropean law openen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rights.licenseAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleThe European community of law and the communities of case-law : understanding legal concepts and processes through the lens of community detection algorithmsen
dc.typeArticleen
dspace.entity.typePublication
eui.subscribe.skiptrue
person.identifier.orcid0000-0003-4635-3816
person.identifier.orcid0000-0001-6092-0114
person.identifier.other41042
person.identifier.other42550
relation.isAuthorOfPublication3ee37b27-cf36-45d1-8472-29d532ef2816
relation.isAuthorOfPublication9a48ab9a-8403-4625-b430-fb42e60a290e
relation.isAuthorOfPublication.latestForDiscovery3ee37b27-cf36-45d1-8472-29d532ef2816
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