{"id":"https://openalex.org/W2744267167","doi":"https://doi.org/10.1140/epjds/s13688-017-0113-9","title":"Classification of Westminster Parliamentary constituencies using e-petition data","display_name":"Classification of Westminster Parliamentary constituencies using e-petition data","publication_year":2017,"publication_date":"2017-08-08","ids":{"openalex":"https://openalex.org/W2744267167","doi":"https://doi.org/10.1140/epjds/s13688-017-0113-9","mag":"2744267167"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-017-0113-9","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-017-0113-9","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-017-0113-9","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-017-0113-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047791121","display_name":"Stephen Clark","orcid":"https://orcid.org/0000-0003-4090-6002"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Stephen Clark","raw_affiliation_strings":["Consumer Data Research Centre, Leeds Institute for Data Analytics and School of Geography, University of Leeds, Leeds, LS12 9JT, UK"],"raw_orcid":"https://orcid.org/0000-0003-4090-6002","affiliations":[{"raw_affiliation_string":"Consumer Data Research Centre, Leeds Institute for Data Analytics and School of Geography, University of Leeds, Leeds, LS12 9JT, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027595693","display_name":"Nik Lomax","orcid":"https://orcid.org/0000-0001-9504-7570"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nik Lomax","raw_affiliation_strings":["School of Geography and Leeds Institute for Data Analytics, University of Leeds, Leeds, LS12 9JT, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Leeds Institute for Data Analytics, University of Leeds, Leeds, LS12 9JT, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018799279","display_name":"Michelle Morris","orcid":"https://orcid.org/0000-0002-9325-619X"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michelle A Morris","raw_affiliation_strings":["Leeds Institute for Data Analytics and School of Medicine, University of Leeds, Leeds, LS12 9JT, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leeds Institute for Data Analytics and School of Medicine, University of Leeds, Leeds, LS12 9JT, UK","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047791121"],"corresponding_institution_ids":["https://openalex.org/I130828816"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1120,"currency":"EUR","value_usd":1207},"fwci":1.0393,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83254941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9872999787330627,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9872999787330627,"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/T13546","display_name":"Census and Population Estimation","score":0.9136999845504761,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parliament","display_name":"Parliament","score":0.8136952519416809},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7686723470687866},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.5689433217048645},{"id":"https://openalex.org/keywords/democracy","display_name":"Democracy","score":0.5156761407852173},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.4684232473373413},{"id":"https://openalex.org/keywords/public-administration","display_name":"Public administration","score":0.43184763193130493},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.3740741014480591},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.37142181396484375},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.3592989444732666},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.17737409472465515}],"concepts":[{"id":"https://openalex.org/C2781440851","wikidata":"https://www.wikidata.org/wiki/Q35749","display_name":"Parliament","level":3,"score":0.8136952519416809},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7686723470687866},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.5689433217048645},{"id":"https://openalex.org/C555826173","wikidata":"https://www.wikidata.org/wiki/Q7174","display_name":"Democracy","level":3,"score":0.5156761407852173},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.4684232473373413},{"id":"https://openalex.org/C3116431","wikidata":"https://www.wikidata.org/wiki/Q31728","display_name":"Public administration","level":1,"score":0.43184763193130493},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.3740741014480591},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.37142181396484375},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.3592989444732666},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.17737409472465515},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1140/epjds/s13688-017-0113-9","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-017-0113-9","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-017-0113-9","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:120234","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:881bd8d4649c4eb9b73923749ef03703","is_oa":true,"landing_page_url":"https://doaj.org/article/881bd8d4649c4eb9b73923749ef03703","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 6, Iss 1, Pp 1-16 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-017-0113-9","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-017-0113-9","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-017-0113-9","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2584763693","display_name":null,"funder_award_id":"ES/L011891/1","funder_id":"https://openalex.org/F4320334630","funder_display_name":"Economic and Social Research Council"},{"id":"https://openalex.org/G374714671","display_name":null,"funder_award_id":"No ES/L011891/1","funder_id":"https://openalex.org/F4320334630","funder_display_name":"Economic and Social Research Council"},{"id":"https://openalex.org/G4520582893","display_name":"Consumer Data Research Support Service (CDRSS)","funder_award_id":"ES/L011891/1","funder_id":"https://openalex.org/F4320334630","funder_display_name":"Economic and Social Research Council"},{"id":"https://openalex.org/G6083733439","display_name":null,"funder_award_id":"ES/N00941X/1","funder_id":"https://openalex.org/F4320334630","funder_display_name":"Economic and Social Research Council"}],"funders":[{"id":"https://openalex.org/F4320334630","display_name":"Economic and Social Research Council","ror":"https://ror.org/03n0ht308"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2744267167.pdf","grobid_xml":"https://content.openalex.org/works/W2744267167.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1876450929","https://openalex.org/W1955600018","https://openalex.org/W1972131969","https://openalex.org/W1988764623","https://openalex.org/W1991462639","https://openalex.org/W2011832962","https://openalex.org/W2020406927","https://openalex.org/W2033626473","https://openalex.org/W2042571547","https://openalex.org/W2052406252","https://openalex.org/W2055576991","https://openalex.org/W2142827986","https://openalex.org/W2288417821","https://openalex.org/W2291895774","https://openalex.org/W2309656522","https://openalex.org/W2434182841","https://openalex.org/W2465416513","https://openalex.org/W2512028802","https://openalex.org/W2519132385","https://openalex.org/W2529801746","https://openalex.org/W2581395090","https://openalex.org/W2582236243","https://openalex.org/W2582743722","https://openalex.org/W2612166593"],"related_works":["https://openalex.org/W2023822311","https://openalex.org/W4252661029","https://openalex.org/W2375791221","https://openalex.org/W2368605798","https://openalex.org/W2254312451","https://openalex.org/W2279503719","https://openalex.org/W4365503523","https://openalex.org/W2097613883","https://openalex.org/W1993798603","https://openalex.org/W589623597"],"abstract_inverted_index":{"In":[0,124],"a":[1,95,102],"representative":[2],"democracy":[3],"it":[4],"is":[5],"important":[6],"that":[7],"politicians":[8,48],"have":[9,66,115],"knowledge":[10],"of":[11,17,32,56,78,138,183],"the":[12,30,72,79,98,130,181],"desires,":[13],"aspirations":[14],"and":[15,75,83,114,167,170,180,190],"concerns":[16],"their":[18,112],"constituents.":[19],"Opportunities":[20],"to":[21,37,46,60,81,133,154,186,192],"gauge":[22],"these":[23],"opinions":[24],"are":[25,58,108,197],"however":[26],"limited":[27],"and,":[28],"in":[29,69,92,104,111,194],"era":[31],"novel":[33,110],"data,":[34],"thoughts":[35],"turn":[36],"what":[38],"alternative,":[39],"secondary,":[40],"data":[41,57,107,132],"sources":[42],"may":[43],"be":[44,152],"available":[45],"keep":[47],"informed":[49],"about":[50],"local":[51],"concerns.":[52],"One":[53],"such":[54],"source":[55],"signatories":[59],"electronic":[61],"petitions":[62],"(e-petitions).":[63],"Such":[64],"e-petitions":[65,90,189],"risen":[67],"greatly":[68],"popularity":[70],"over":[71],"past":[73],"decade":[74],"allow":[76],"members":[77],"public":[80],"initiate":[82],"sign":[84],"an":[85],"e-petition":[86,131],"online,":[87],"with":[88],"popular":[89],"resulting":[91],"media":[93],"attention,":[94],"response":[96],"from":[97],"government":[99],"or":[100],"ultimately":[101],"debate":[103],"parliament.":[105],"These":[106],"thus":[109],"availability":[113],"not":[116],"yet":[117],"been":[118],"widely":[119],"used":[120,153],"for":[121],"research":[122],"purposes.":[123],"this":[125,184],"article":[126],"we":[127],"will":[128],"use":[129],"show":[134],"how":[135,172],"semantic":[136],"classes":[137],"Westminster":[139],"Parliamentary":[140],"constituencies,":[141],"fitted":[142],"as":[143],"Gaussian":[144],"finite":[145],"mixture":[146],"models":[147],"via":[148],"EM":[149],"algorithm,":[150],"can":[151],"typify":[155],"constituencies.":[156],"We":[157],"identify":[158],"four":[159],"classes:":[160],"Domestic":[161],"Liberals;":[162,164],"International":[163],"Nostalgic":[165],"Brits":[166],"Rural":[168],"Concerns,":[169],"illustrate":[171],"they":[173],"map":[174],"onto":[175],"electoral":[176,195],"results.":[177],"The":[178],"findings":[179],"utility":[182],"approach":[185],"incorporate":[187],"new":[188],"adapt":[191],"changes":[193],"geography":[196],"discussed.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}