{"id":"https://openalex.org/W2204782486","doi":"https://doi.org/10.1109/bigdata.2015.7363937","title":"Plot arceology: A vector-space model of narrative structure","display_name":"Plot arceology: A vector-space model of narrative structure","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2204782486","doi":"https://doi.org/10.1109/bigdata.2015.7363937","mag":"2204782486"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7363937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","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":"https://openalex.org/A5061990895","display_name":"Benjamin M. Schmidt","orcid":"https://orcid.org/0000-0002-1142-5720"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Benjamin M. Schmidt","raw_affiliation_strings":["Department of History, Maps and Networks Northeastern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of History, Maps and Networks Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129","https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061990895"],"corresponding_institution_ids":["https://openalex.org/I111088046","https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.4314,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76948756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1667","last_page":"1672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9908000230789185,"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":0.9908000230789185,"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/T12377","display_name":"Digital Humanities and Scholarship","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.8588265180587769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7288171052932739},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.6956217885017395},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5096151828765869},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4700561761856079},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.46960505843162537},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.4597089886665344},{"id":"https://openalex.org/keywords/narrative-structure","display_name":"Narrative structure","score":0.44893914461135864},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4206979274749756},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41792649030685425},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.41069650650024414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40539655089378357},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1536807119846344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1363498568534851},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13262158632278442},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08371204137802124},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07892289757728577}],"concepts":[{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.8588265180587769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7288171052932739},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.6956217885017395},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5096151828765869},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4700561761856079},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.46960505843162537},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.4597089886665344},{"id":"https://openalex.org/C78015137","wikidata":"https://www.wikidata.org/wiki/Q847829","display_name":"Narrative structure","level":3,"score":0.44893914461135864},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4206979274749756},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41792649030685425},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.41069650650024414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40539655089378357},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1536807119846344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1363498568534851},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13262158632278442},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08371204137802124},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07892289757728577},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7363937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W561535798","https://openalex.org/W601198322","https://openalex.org/W1502067682","https://openalex.org/W1880262756","https://openalex.org/W2074520033","https://openalex.org/W2077572712","https://openalex.org/W2089063301","https://openalex.org/W4231510805","https://openalex.org/W4244181777","https://openalex.org/W6639619044","https://openalex.org/W6669738614"],"related_works":["https://openalex.org/W3216123591","https://openalex.org/W2763392073","https://openalex.org/W2080822453","https://openalex.org/W4323256494","https://openalex.org/W4380924541","https://openalex.org/W2887490207","https://openalex.org/W2919540475","https://openalex.org/W1582788799","https://openalex.org/W4302480997","https://openalex.org/W2368705048"],"abstract_inverted_index":{"A":[0],"novel":[1],"and":[2,9,51,98],"important":[3],"corpus":[4],"of":[5,18,55,86,96,104],"about":[6],"80,000":[7],"television":[8],"movie":[10],"scripts":[11],"from":[12,73],"opensubtitles.com":[13],"shows":[14],"interesting":[15,27],"large-scale":[16],"patterns":[17,25],"narration":[19],"in":[20],"their":[21],"vocabulary":[22],"use.":[23],"These":[24],"are":[26],"at":[28],"the":[29,84],"token":[30],"level":[31],"but":[32],"not":[33],"easily":[34,91],"amenable":[35],"for":[36,49,82],"large":[37,60],"scale":[38],"data":[39],"analysis.":[40],"This":[41],"paper":[42],"describes":[43],"a":[44,69,74,80,94],"new":[45],"method,":[46],"\"plot":[47],"arcs,\"":[48],"describing":[50,83],"comparing":[52],"structural":[53],"elements":[54],"structure,":[56],"including":[57],"plot,":[58],"across":[59],"textual":[61],"corpora":[62],"by":[63],"treating":[64],"texts":[65],"as":[66],"paths":[67],"through":[68],"multidimensional":[70],"space":[71],"derived":[72],"topic":[75],"model.":[76],"Plot":[77],"arcs":[78],"offer":[79],"framework":[81],"structure":[85],"text":[87],"documents":[88],"that":[89],"is":[90],"extensible":[92],"to":[93],"variety":[95],"genres":[97],"can":[99],"accommodate":[100],"many":[101],"different":[102],"ideas":[103],"plot":[105],"structure.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
