{"id":"https://openalex.org/W2610721480","doi":"https://doi.org/10.1145/3025453.3026024","title":"Evaluating Perceptually Complementary Views for Network Exploration Tasks","display_name":"Evaluating Perceptually Complementary Views for Network Exploration Tasks","publication_year":2017,"publication_date":"2017-05-02","ids":{"openalex":"https://openalex.org/W2610721480","doi":"https://doi.org/10.1145/3025453.3026024","mag":"2610721480"},"language":"en","primary_location":{"id":"doi:10.1145/3025453.3026024","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3025453.3026024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","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/A5052869969","display_name":"Chunlei Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Chunlei Chang","raw_affiliation_strings":["Monash University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048194226","display_name":"Benjamin Bach","orcid":"https://orcid.org/0000-0002-9201-7744"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Benjamin Bach","raw_affiliation_strings":["Monash University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008149778","display_name":"Tim Dwyer","orcid":"https://orcid.org/0000-0002-9076-9571"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tim Dwyer","raw_affiliation_strings":["Monash University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085695563","display_name":"Kim Marriott","orcid":"https://orcid.org/0000-0002-9813-0377"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kim Marriott","raw_affiliation_strings":["Monash University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052869969"],"corresponding_institution_ids":["https://openalex.org/I56590836"],"apc_list":null,"apc_paid":null,"fwci":1.8204,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.91489444,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1397","last_page":"1407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9860000014305115,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9836999773979187,"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/computer-science","display_name":"Computer science","score":0.7670258283615112},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6882562637329102},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6406595706939697},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.628038763999939},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.594123363494873},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5512224435806274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4320877194404602},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4307321012020111},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3645681142807007},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3250766098499298},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1229848861694336},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08323314785957336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7670258283615112},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6882562637329102},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6406595706939697},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.628038763999939},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.594123363494873},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5512224435806274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4320877194404602},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4307321012020111},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3645681142807007},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3250766098499298},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1229848861694336},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08323314785957336},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3025453.3026024","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3025453.3026024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1516293359","https://openalex.org/W1554645923","https://openalex.org/W1557977305","https://openalex.org/W1932144848","https://openalex.org/W2008620264","https://openalex.org/W2018614013","https://openalex.org/W2027151576","https://openalex.org/W2032779105","https://openalex.org/W2052209137","https://openalex.org/W2100757236","https://openalex.org/W2103140580","https://openalex.org/W2105893525","https://openalex.org/W2106281550","https://openalex.org/W2111347866","https://openalex.org/W2113081107","https://openalex.org/W2116904179","https://openalex.org/W2123253818","https://openalex.org/W2126046271","https://openalex.org/W2128712108","https://openalex.org/W2132317457","https://openalex.org/W2164429073","https://openalex.org/W2171073562","https://openalex.org/W2171381161","https://openalex.org/W2338445677","https://openalex.org/W4249894953"],"related_works":["https://openalex.org/W1518185400","https://openalex.org/W3200586296","https://openalex.org/W2068608913","https://openalex.org/W4230332972","https://openalex.org/W1998033311","https://openalex.org/W4247322236","https://openalex.org/W1762272577","https://openalex.org/W3124914020","https://openalex.org/W4206960768","https://openalex.org/W4229899156"],"abstract_inverted_index":{"We":[0],"explore":[1],"the":[2,13,24,74,108,111,127,134],"relative":[3],"merits":[4],"of":[5,15,54,89,103,110,126],"matrix,":[6,37],"node-link":[7,38,63],"and":[8,39,46,51,64],"combined":[9,40,52,75],"side-by-side":[10],"views":[11,41,53,66],"for":[12,29,42,56,92,119],"visualisation":[14],"weighted":[16,30,44],"networks":[17],"with":[18],"three":[19],"controlled":[20],"studies:":[21],"(1)":[22],"finding":[23],"most":[25],"effective":[26],"visual":[27],"encoding":[28],"edges":[31],"in":[32,87,101,133],"matrix":[33,65],"representations;":[34],"(2)":[35],"comparing":[36,48],"static":[43],"networks;":[45],"(3)":[47],"MatrixWave,":[49],"Sankey":[50],"both":[55,132],"event-sequence":[57],"data.":[58],"Our":[59],"studies":[60,78],"underline":[61],"that":[62,80,96,118],"are":[67],"suited":[68],"to":[69],"different":[70],"analysis":[71],"tasks.":[72],"For":[73],"view,":[76],"our":[77],"show":[79],"there":[81,97],"is":[82,98],"a":[83,99],"perceptually":[84],"complementary":[85],"effect":[86],"terms":[88,102],"improved":[90],"accuracy":[91],"some":[93],"tasks,":[94],"but":[95],"cost":[100],"longer":[104],"completion":[105],"time":[106],"than":[107],"faster":[109],"two":[112,128],"techniques":[113],"alone.":[114],"Eye-movement":[115],"data":[116],"shows":[117],"many":[120],"tasks":[121],"participants":[122],"strongly":[123],"favour":[124],"one":[125],"views,":[129],"after":[130],"trying":[131],"training":[135],"phase.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}