{"id":"https://openalex.org/W2344498319","doi":"https://doi.org/10.1109/tvcg.2015.2502587","title":"The Connected Scatterplot for Presenting Paired Time Series","display_name":"The Connected Scatterplot for Presenting Paired Time Series","publication_year":2015,"publication_date":"2015-11-20","ids":{"openalex":"https://openalex.org/W2344498319","doi":"https://doi.org/10.1109/tvcg.2015.2502587","mag":"2344498319","pmid":"https://pubmed.ncbi.nlm.nih.gov/26600062"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2015.2502587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2015.2502587","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5047920772","display_name":"Steve Haroz","orcid":"https://orcid.org/0000-0002-2725-9173"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steve Haroz","raw_affiliation_strings":["Psychology Department, Northwestern University, Evanston, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Psychology Department, Northwestern University, Evanston, IL","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081622405","display_name":"Robert Kosara","orcid":"https://orcid.org/0000-0002-1178-4029"},"institutions":[{"id":"https://openalex.org/I4210163771","display_name":"Tableau Software (United States)","ror":"https://ror.org/053v5e348","country_code":"US","type":"company","lineage":["https://openalex.org/I4210163771"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Kosara","raw_affiliation_strings":["Tableau Research, Seattle, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tableau Research, Seattle, WA","institution_ids":["https://openalex.org/I4210163771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043405353","display_name":"Steven Franconeri","orcid":"https://orcid.org/0000-0001-5244-9764"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven L. Franconeri","raw_affiliation_strings":["Psychology Department, Northwestern University, Evanston, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Psychology Department, Northwestern University, Evanston, IL","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1826,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.94747982,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"22","issue":"9","first_page":"2174","last_page":"2186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997000098228455,"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":0.9997000098228455,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8083012104034424},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.6195414066314697},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4726397395133972},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45023640990257263},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.43703168630599976},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.41862982511520386},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4123859405517578},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35694605112075806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3535607159137726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083012104034424},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.6195414066314697},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4726397395133972},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45023640990257263},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.43703168630599976},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.41862982511520386},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4123859405517578},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35694605112075806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3535607159137726},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tvcg.2015.2502587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2015.2502587","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:26600062","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26600062","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.735.627","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.735.627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://kosara.net/papers/2016/Haroz-TVCG-2016.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6537271887","display_name":null,"funder_award_id":"BCS-1056730","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8508763718","display_name":null,"funder_award_id":"IIS-1162067","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1496523069","https://openalex.org/W1533191152","https://openalex.org/W1587026990","https://openalex.org/W1606065909","https://openalex.org/W1939177925","https://openalex.org/W1984314602","https://openalex.org/W1990352756","https://openalex.org/W2020110879","https://openalex.org/W2027795965","https://openalex.org/W2028385070","https://openalex.org/W2034909568","https://openalex.org/W2035329223","https://openalex.org/W2048261085","https://openalex.org/W2050286206","https://openalex.org/W2065488074","https://openalex.org/W2073887743","https://openalex.org/W2103484089","https://openalex.org/W2108230739","https://openalex.org/W2108843124","https://openalex.org/W2117470435","https://openalex.org/W2139262486","https://openalex.org/W2140795760","https://openalex.org/W2143801939","https://openalex.org/W2150231912","https://openalex.org/W2156349886","https://openalex.org/W2157900633","https://openalex.org/W2161458174","https://openalex.org/W2180553342","https://openalex.org/W2188853304","https://openalex.org/W2290186370","https://openalex.org/W3124443824","https://openalex.org/W4230096730","https://openalex.org/W4235243453","https://openalex.org/W4246429759"],"related_works":["https://openalex.org/W4225274103","https://openalex.org/W2013728941","https://openalex.org/W2154046714","https://openalex.org/W2579659702","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W2542318691","https://openalex.org/W2547096368","https://openalex.org/W2586219255"],"abstract_inverted_index":{"The":[0,97],"connected":[1,55,102,117,129],"scatterplot":[2,10],"visualizes":[3],"two":[4],"related":[5],"time":[6,49],"series":[7,50],"in":[8,18,53,66,89],"a":[9,16,54],"and":[11,38,74,79,110,131],"connects":[12],"the":[13,32,72,93,120,143],"points":[14],"with":[15,107,142],"line":[17],"temporal":[19],"sequence.":[20],"News":[21],"media":[22],"are":[23,113],"increasingly":[24],"using":[25],"this":[26,67,90],"technique":[27],"to":[28],"present":[29],"data":[30],"under":[31],"intuition":[33],"that":[34,100,111],"it":[35],"is":[36],"understandable":[37],"engaging.":[39],"To":[40],"explore":[41],"these":[42,137],"intuitions,":[43],"we":[44],"(1)":[45],"describe":[46,126],"how":[47,60],"paired":[48],"relationships":[51],"appear":[52],"scatterplot,":[56],"(2)":[57],"qualitatively":[58],"evaluate":[59,82],"well":[61],"people":[62],"understand":[63],"trends":[64],"depicted":[65],"format,":[68],"(3)":[69],"quantitatively":[70],"measure":[71],"types":[73],"frequency":[75],"of":[76,128],"misinter":[77],"pretations,":[78],"(4)":[80],"empirically":[81],"whether":[83],"viewers":[84,112,140],"will":[85],"preferentially":[86],"view":[87],"graphs":[88],"format":[91],"over":[92,119],"more":[94,121],"traditional":[95,122],"format.":[96,123],"results":[98],"suggest":[99],"low-complexity":[101],"scatterplots":[103,118,130],"can":[104],"be":[105],"understood":[106],"little":[108],"explanation,":[109],"biased":[114],"towards":[115],"inspecting":[116],"We":[124],"also":[125],"misinterpretations":[127],"propose":[132],"further":[133],"research":[134],"into":[135],"mitigating":[136],"mistakes":[138],"for":[139],"unfamiliar":[141],"technique.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
