{"id":"https://openalex.org/W2293328102","doi":"https://doi.org/10.1145/2801040.2801067","title":"A Layout Technique for Storyline-based Visualization of Consecutive Numerical Time-varying Data","display_name":"A Layout Technique for Storyline-based Visualization of Consecutive Numerical Time-varying Data","publication_year":2015,"publication_date":"2015-08-24","ids":{"openalex":"https://openalex.org/W2293328102","doi":"https://doi.org/10.1145/2801040.2801067","mag":"2293328102"},"language":"en","primary_location":{"id":"doi:10.1145/2801040.2801067","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2801040.2801067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Symposium on Visual Information Communication and Interaction","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/A5006632633","display_name":"Sayaka Yagi","orcid":null},"institutions":[{"id":"https://openalex.org/I114030911","display_name":"Otsuka (Japan)","ror":"https://ror.org/013k5y296","country_code":"JP","type":"company","lineage":["https://openalex.org/I114030911"]},{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Sayaka Yagi","raw_affiliation_strings":["Ochanomizu University 2-1-1 Otsuka, Bunkyo-ku Tokyo, 112-8610, Japan"],"affiliations":[{"raw_affiliation_string":"Ochanomizu University 2-1-1 Otsuka, Bunkyo-ku Tokyo, 112-8610, Japan","institution_ids":["https://openalex.org/I26120043","https://openalex.org/I114030911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071094223","display_name":"Takayuki Itoh","orcid":"https://orcid.org/0000-0002-1997-4644"},"institutions":[{"id":"https://openalex.org/I114030911","display_name":"Otsuka (Japan)","ror":"https://ror.org/013k5y296","country_code":"JP","type":"company","lineage":["https://openalex.org/I114030911"]},{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Itoh","raw_affiliation_strings":["Ochanomizu University 2-1-1 Otsuka, Bunkyo-ku Tokyo 112-8610, Japan"],"affiliations":[{"raw_affiliation_string":"Ochanomizu University 2-1-1 Otsuka, Bunkyo-ku Tokyo 112-8610, Japan","institution_ids":["https://openalex.org/I26120043","https://openalex.org/I114030911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021529553","display_name":"Masahiro Takatsuka","orcid":"https://orcid.org/0000-0002-1769-9642"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Masahiro Takatsuka","raw_affiliation_strings":["The University of Sydney NSW 2006, Austraria"],"affiliations":[{"raw_affiliation_string":"The University of Sydney NSW 2006, Austraria","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006632633"],"corresponding_institution_ids":["https://openalex.org/I114030911","https://openalex.org/I26120043"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.15646767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"156","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":1.0,"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"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9670000076293945,"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/T11106","display_name":"Data Management and Algorithms","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/visualization","display_name":"Visualization","score":0.8837909698486328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7764670848846436},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6064702272415161},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5499448776245117},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5262155532836914},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.46453267335891724},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4413042962551117},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4180489778518677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3790474832057953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3714792728424072},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2457011640071869},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15114128589630127},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07354804873466492}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8837909698486328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764670848846436},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6064702272415161},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5499448776245117},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5262155532836914},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.46453267335891724},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4413042962551117},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4180489778518677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3790474832057953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3714792728424072},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2457011640071869},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15114128589630127},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07354804873466492},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2801040.2801067","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2801040.2801067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Symposium on Visual Information Communication and Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1984664592","https://openalex.org/W2007546607"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W3160708108","https://openalex.org/W1520259327"],"abstract_inverted_index":{"We":[0],"commonly":[1],"represent":[2],"time-varying":[3,23,37],"values":[4,24,71],"as":[5,63,74],"polyline":[6],"charts":[7],"or":[8],"heatmaps;":[9],"however,":[10],"both":[11],"type":[12],"of":[13,22,56,82],"techniques":[14],"are":[15],"difficult":[16],"to":[17,44,78],"simultaneously":[18],"observe":[19],"short-term":[20],"features":[21],"and":[25,59],"cluster":[26],"transitions.":[27],"This":[28],"poster":[29],"proposes":[30],"storyline-based":[31],"visualization":[32,42],"technique":[33,43,53,67],"for":[34],"consecutive":[35],"numerical":[36],"data.":[38],"Storyline":[39],"is":[40],"a":[41,75],"show":[45],"associative":[46],"feature":[47],"among":[48],"elements":[49,58,62],"over":[50],"time.":[51],"Our":[52],"measures":[54],"similarity":[55],"each":[57],"draw":[60],"similar":[61],"proximity":[64],"storyline.":[65],"The":[66],"also":[68],"reflects":[69],"differential":[70],"on":[72],"storyline":[73],"visual":[76],"variable":[77],"emphasize":[79],"the":[80],"amount":[81],"line":[83],"changes.":[84]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
