{"id":"https://openalex.org/W3194741633","doi":"https://doi.org/10.1109/vis49827.2021.9623282","title":"Bayesian Modelling of Alluvial Diagram Complexity","display_name":"Bayesian Modelling of Alluvial Diagram Complexity","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3194741633","doi":"https://doi.org/10.1109/vis49827.2021.9623282","mag":"3194741633"},"language":"en","primary_location":{"id":"doi:10.1109/vis49827.2021.9623282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vis49827.2021.9623282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Visualization Conference (VIS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2108.06023","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087561934","display_name":"Anjana Arunkumar","orcid":"https://orcid.org/0000-0003-3513-8600"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anjana Arunkumar","raw_affiliation_strings":["Arizona State University","Arizona State University**"],"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University**","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051777579","display_name":"Shashank Ginjpalli","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shashank Ginjpalli","raw_affiliation_strings":["Arizona State University","Arizona State University**"],"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University**","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043391973","display_name":"Chris Bryan","orcid":"https://orcid.org/0000-0003-2430-815X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Bryan","raw_affiliation_strings":["Arizona State University","Arizona State University**"],"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University**","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087561934"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.0971,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39419939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.972599983215332,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.972100019454956,"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/computer-science","display_name":"Computer science","score":0.5787109136581421},{"id":"https://openalex.org/keywords/diagram","display_name":"Diagram","score":0.526557445526123},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4978756904602051},{"id":"https://openalex.org/keywords/influence-diagram","display_name":"Influence diagram","score":0.4452892541885376},{"id":"https://openalex.org/keywords/data-flow-diagram","display_name":"Data flow diagram","score":0.43057379126548767},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.41541755199432373},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3966655433177948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3203848600387573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20144814252853394},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1947769820690155},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.15112414956092834},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08240389823913574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5787109136581421},{"id":"https://openalex.org/C186399060","wikidata":"https://www.wikidata.org/wiki/Q959962","display_name":"Diagram","level":2,"score":0.526557445526123},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4978756904602051},{"id":"https://openalex.org/C20837028","wikidata":"https://www.wikidata.org/wiki/Q623966","display_name":"Influence diagram","level":3,"score":0.4452892541885376},{"id":"https://openalex.org/C489000","wikidata":"https://www.wikidata.org/wiki/Q747385","display_name":"Data flow diagram","level":2,"score":0.43057379126548767},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.41541755199432373},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3966655433177948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3203848600387573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20144814252853394},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1947769820690155},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.15112414956092834},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08240389823913574}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/vis49827.2021.9623282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vis49827.2021.9623282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Visualization Conference (VIS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2108.06023","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.06023","pdf_url":"https://arxiv.org/pdf/2108.06023","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3194741633","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2108.06023","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2108.06023","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2108.06023","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2108.06023","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.06023","pdf_url":"https://arxiv.org/pdf/2108.06023","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4437595694","display_name":null,"funder_award_id":"1934766","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4451313673","display_name":null,"funder_award_id":"OAC-1934766","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3194741633.pdf","grobid_xml":"https://content.openalex.org/works/W3194741633.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W176849227","https://openalex.org/W884650706","https://openalex.org/W1506965148","https://openalex.org/W1569604061","https://openalex.org/W1813094283","https://openalex.org/W1932144848","https://openalex.org/W1976991391","https://openalex.org/W1995471400","https://openalex.org/W2036852794","https://openalex.org/W2049012614","https://openalex.org/W2057828920","https://openalex.org/W2060538865","https://openalex.org/W2064391105","https://openalex.org/W2108982845","https://openalex.org/W2158553842","https://openalex.org/W2166530471","https://openalex.org/W2167956961","https://openalex.org/W2241440019","https://openalex.org/W2274780007","https://openalex.org/W2327525319","https://openalex.org/W2517256332","https://openalex.org/W2613139532","https://openalex.org/W2750223083","https://openalex.org/W2753766497","https://openalex.org/W2800841426","https://openalex.org/W2806850801","https://openalex.org/W2894294331","https://openalex.org/W2908972697","https://openalex.org/W2942499426","https://openalex.org/W2969788738","https://openalex.org/W2976192162","https://openalex.org/W3015634246","https://openalex.org/W4249894953","https://openalex.org/W6630234491","https://openalex.org/W6633818407","https://openalex.org/W6708436123","https://openalex.org/W7030239333"],"related_works":["https://openalex.org/W2613766705","https://openalex.org/W2887229095","https://openalex.org/W2993955641","https://openalex.org/W2163107951","https://openalex.org/W2744218321","https://openalex.org/W1534601512","https://openalex.org/W2026352196","https://openalex.org/W2570755836","https://openalex.org/W1528315606","https://openalex.org/W3200046502","https://openalex.org/W2564382849","https://openalex.org/W2994903552","https://openalex.org/W605291185","https://openalex.org/W3129989289","https://openalex.org/W3100159625","https://openalex.org/W1930630035","https://openalex.org/W2906577465","https://openalex.org/W3197108287","https://openalex.org/W122662216","https://openalex.org/W3090599314"],"abstract_inverted_index":{"Alluvial":[0],"diagrams":[1,60],"are":[2,102],"a":[3,56],"popular":[4],"technique":[5],"for":[6],"visualizing":[7],"flow":[8],"and":[9,15,34,64,72],"relational":[10],"data.":[11],"However,":[12],"successfully":[13],"reading":[14],"interpreting":[16],"the":[17,74,78,81,111,119],"data":[18,31],"shown":[19],"in":[20,104],"an":[21],"alluvial":[22,40,59,107],"diagram":[23,41,93,108],"is":[24,43],"likely":[25],"influenced":[26],"by":[27,45],"factors":[28],"such":[29],"as":[30],"volume,":[32],"complexity,":[33,63,109],"chart":[35],"layout.":[36],"To":[37],"understand":[38],"how":[39],"consumption":[42],"impacted":[44],"its":[46],"visual":[47,100],"features,":[48],"we":[49,84],"conduct":[50],"two":[51],"crowdsourced":[52],"user":[53],"studies":[54],"with":[55],"set":[57],"of":[58,61,77,92,113,121],"varying":[62],"examine":[65],"(i)":[66],"participant":[67,90],"performance":[68],"on":[69,118],"analysis":[70],"tasks,":[71],"(ii)":[73],"perceived":[75,129],"complexity":[76,122,127],"charts.":[79],"Using":[80],"study":[82],"results,":[83],"employ":[85],"Bayesian":[86],"modelling":[87],"to":[88,106,116],"predict":[89],"classification":[91],"complexity.":[94,130],"We":[95],"find":[96],"that,":[97],"while":[98],"multiple":[99],"features":[101,114],"important":[103],"contributing":[105],"interestingly":[110],"importance":[112],"seems":[115],"depend":[117],"type":[120],"being":[123],"modeled,":[124],"i.e.":[125],"task":[126],"vs.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}