{"id":"https://openalex.org/W2572709643","doi":"https://doi.org/10.3233/978-1-61499-726-9-53","title":"Identification of Case Content with Quantitative Network Analysis: An Example from the ECtHR","display_name":"Identification of Case Content with Quantitative Network Analysis: An Example from the ECtHR","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2572709643","doi":"https://doi.org/10.3233/978-1-61499-726-9-53","mag":"2572709643"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-726-9-53","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-726-9-53","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Christensen Martin Lolle","orcid":null},"institutions":[{"id":"https://openalex.org/I282179226","display_name":"International Council for the Exploration of the Sea","ror":"https://ror.org/03hg53255","country_code":"DK","type":"other","lineage":["https://openalex.org/I282179226"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Christensen Martin Lolle","raw_affiliation_strings":["iCourt - Centre of Excellence for International Courts (Faculty of Law,\r\nCopenhagen - Denmark)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"iCourt - Centre of Excellence for International Courts (Faculty of Law,\r\nCopenhagen - Denmark)","institution_ids":["https://openalex.org/I282179226"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Olsen Henrik Palmer","orcid":null},"institutions":[{"id":"https://openalex.org/I282179226","display_name":"International Council for the Exploration of the Sea","ror":"https://ror.org/03hg53255","country_code":"DK","type":"other","lineage":["https://openalex.org/I282179226"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Olsen Henrik Palmer","raw_affiliation_strings":["iCourt - Centre of Excellence for International Courts (Faculty of Law,\r\nCopenhagen - Denmark)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"iCourt - Centre of Excellence for International Courts (Faculty of Law,\r\nCopenhagen - Denmark)","institution_ids":["https://openalex.org/I282179226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010019630","display_name":"Fabien Tarissan","orcid":"https://orcid.org/0000-0002-7588-300X"},"institutions":[{"id":"https://openalex.org/I11559806","display_name":"\u00c9cole Normale Sup\u00e9rieure Paris-Saclay","ror":"https://ror.org/00hx6zz33","country_code":"FR","type":"education","lineage":["https://openalex.org/I11559806","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210143052","display_name":"Institut des Sciences Sociales du Politique","ror":"https://ror.org/03jdg7625","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I40434647","https://openalex.org/I4210143052","https://openalex.org/I4210150854"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Tarissan Fabien","raw_affiliation_strings":["CNRS - Centre National de la Recherche Scientifique (France)","ISP - Institut des Sciences sociales du Politique (Maison Max Weber, B\u00e2t. W, 200 Avenue de la R\u00e9publique 92001 NANTERRE CEDEX  - Ecole Normale Sup\u00e9rieure Paris-Saclay, B\u00e2timent Ouest - 3e \u00e9tage, 4 avenue des Sciences, 91190 Gif-sur-Yvette - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS - Centre National de la Recherche Scientifique (France)","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ISP - Institut des Sciences sociales du Politique (Maison Max Weber, B\u00e2t. W, 200 Avenue de la R\u00e9publique 92001 NANTERRE CEDEX  - Ecole Normale Sup\u00e9rieure Paris-Saclay, B\u00e2timent Ouest - 3e \u00e9tage, 4 avenue des Sciences, 91190 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I11559806","https://openalex.org/I4210143052"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2507,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93146214,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.8852999806404114,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.8852999806404114,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.8360999822616577,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.7887395620346069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7415232062339783},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6521966457366943},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5828931331634521},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5799353122711182},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5649296045303345},{"id":"https://openalex.org/keywords/content-analysis","display_name":"Content analysis","score":0.4565564692020416},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.45498126745224},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3340446352958679},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33215194940567017},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23242822289466858},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.08075401186943054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07110154628753662}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.7887395620346069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415232062339783},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6521966457366943},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5828931331634521},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5799353122711182},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5649296045303345},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.4565564692020416},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.45498126745224},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3340446352958679},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33215194940567017},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23242822289466858},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.08075401186943054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07110154628753662},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-726-9-53","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-726-9-53","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/34039966-8ca9-4f07-9e1c-22a2ed497bbd","is_oa":false,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/34039966-8ca9-4f07-9e1c-22a2ed497bbd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Christensen , M L , Olsen , H P & Tarissan , F 2016 , Identification of Case Content with Quantitative Network Analysis : An Example from the ECtHR . in F Bex & S Villata (eds) , Legal Knowledge and Information Systems . IOS Press , Amsterdam , pp. 53-62 , JURIX , Valbonne , France , 14/12/2016 . https://doi.org/10.3233/978-1-61499-726-9-53","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2058118494","https://openalex.org/W2392768766","https://openalex.org/W2382021449","https://openalex.org/W2095118173","https://openalex.org/W2106424170","https://openalex.org/W1985426483","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W1912037221","https://openalex.org/W2568448309"],"abstract_inverted_index":{"What":[0],"is":[1,95,170],"a":[2,25,34,76,81,92,143],"case":[3,16,27,61,85,94],"decided":[4],"by":[5,110,141],"the":[6,21,42,51,106,139,159,175,181],"European":[7],"Court":[8],"of":[9,36,84,89,145,152,155,180],"Human":[10],"Rights":[11],"about?":[12],"The":[13],"Courts":[14],"own":[15],"database,":[17],"HUDOC,":[18],"lists":[19],"all":[20],"articles":[22,91],"mentioned":[23],"in":[24,28,73,87,129,168,178],"specific":[26],"their":[29],"metadata.":[30],"They":[31],"also":[32],"supply":[33],"number":[35],"keywords,":[37],"but":[38],"these":[39],"keywords":[40],"for":[41],"most":[43,179],"part":[44],"are":[45],"reduced":[46],"to":[47,56,122,134,172],"repeating":[48],"phrases":[49],"from":[50],"relevant":[52],"articles.":[53,163],"In":[54],"order":[55],"enhance":[57],"information":[58],"retrieval":[59],"about":[60],"content,":[62],"without":[63],"relying":[64],"on":[65,105],"manual":[66,150],"labor":[67],"and":[68,113,116,125,148,161],"subjective":[69],"judgment,":[70],"we":[71,103],"propose":[72,117],"this":[74],"paper":[75],"quantitative":[77],"method":[78],"that":[79,166],"gives":[80],"better":[82],"indication":[83],"content":[86,154,177],"terms":[88],"which":[90,127],"given":[93],"more":[96],"closely":[97],"associated":[98],"with.":[99],"To":[100],"do":[101],"so,":[102],"rely":[104],"network":[107],"structure":[108],"induced":[109],"existing":[111],"case-to-case":[112],"case-to-article":[114],"citations":[115],"two":[118],"computational":[119],"approaches":[120],"(referred":[121],"as":[123],"MAININ":[124,160,167],"MAINOUT)":[126],"result":[128],"assigning":[130],"one":[131],"representative":[132],"article":[133],"each":[135],"case.":[136],"We":[137],"validate":[138],"approach":[140],"selecting":[142],"sample":[144],"important":[146],"cases":[147,157],"comparing":[149],"investigation":[151],"real":[153,176],"those":[156],"with":[158],"MAINOUT":[162],"Results":[164],"show":[165],"particular":[169],"able":[171],"infer":[173],"correctly":[174],"cases.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2017-01-26T00:00:00"}