{"id":"https://openalex.org/W1997217007","doi":"https://doi.org/10.1109/pacificvis.2008.4475480","title":"Visualizing Multivariate Networks: A Hybrid Approach","display_name":"Visualizing Multivariate Networks: A Hybrid Approach","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W1997217007","doi":"https://doi.org/10.1109/pacificvis.2008.4475480","mag":"1997217007"},"language":"en","primary_location":{"id":"doi:10.1109/pacificvis.2008.4475480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacificvis.2008.4475480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Pacific Visualization Symposium","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/A5103075103","display_name":"Yingxin Wu","orcid":"https://orcid.org/0000-0002-2909-2696"},"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"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yingxin Wu","raw_affiliation_strings":["University of Sydney, National ICT, Australia","University of Sydney Sydney"],"affiliations":[{"raw_affiliation_string":"University of Sydney, National ICT, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I129604602"]},{"raw_affiliation_string":"University of Sydney Sydney","institution_ids":["https://openalex.org/I129604602"]}]},{"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":["ViSLAB, University of Sydney, Australia","ViSLAB, University of Sydney. e-mail: masa@vislab.net"],"affiliations":[{"raw_affiliation_string":"ViSLAB, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"ViSLAB, University of Sydney. e-mail: masa@vislab.net","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103075103"],"corresponding_institution_ids":["https://openalex.org/I129604602","https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":1.0535,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78351031,"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":"223","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998000264167786,"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":0.9998000264167786,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9879000186920166,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9584000110626221,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6558192372322083},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.653229296207428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3492632806301117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20094969868659973}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6558192372322083},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.653229296207428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3492632806301117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20094969868659973}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pacificvis.2008.4475480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacificvis.2008.4475480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Pacific Visualization Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1487114703","https://openalex.org/W1557584448","https://openalex.org/W1582841557","https://openalex.org/W1622945079","https://openalex.org/W1679913846","https://openalex.org/W1916339519","https://openalex.org/W1947595544","https://openalex.org/W2056915401","https://openalex.org/W2060205664","https://openalex.org/W2061901927","https://openalex.org/W2075220720","https://openalex.org/W2079789924","https://openalex.org/W2084177083","https://openalex.org/W2102664288","https://openalex.org/W2149375085","https://openalex.org/W2153039146","https://openalex.org/W2158307450","https://openalex.org/W3049667020","https://openalex.org/W4231311245","https://openalex.org/W4245176872","https://openalex.org/W4291733759","https://openalex.org/W6633417505","https://openalex.org/W6636781701","https://openalex.org/W6665577251"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2406638334"],"abstract_inverted_index":{"Multivariate":[0],"networks":[1],"are":[2,50],"data":[3],"sets":[4],"that":[5,105],"describe":[6],"not":[7],"only":[8],"the":[9,30,42,58,74,84,95,106,115,139,145,148,154],"relationships":[10,137],"between":[11],"a":[12,25,33,46,79,121],"set":[13,141],"of":[14,32,45,86,120,138,142,147],"entities":[15],"but":[16],"also":[17],"their":[18],"attributes.":[19],"In":[20,128],"this":[21,87],"paper,":[22],"we":[23],"present":[24],"new":[26],"technique":[27],"to":[28,82,134],"determine":[29],"layout":[31,65],"multivariate":[34,122],"network":[35,123],"using":[36,153],"geodesic":[37],"self-organizing":[38],"map":[39],"(GeoSOM).":[40],"During":[41],"training":[43],"process":[44],"GeoSOM,":[47],"graph":[48,60],"distances":[49],"non-linearly":[51],"combined":[52],"with":[53],"attribute":[54],"similarities":[55],"based":[56],"on":[57],"network's":[59],"distance":[61],"distribution.":[62],"The":[63,90,101],"resulted":[64],"has":[66],"less":[67],"edge":[68],"crossings":[69],"than":[70],"those":[71],"generated":[72],"by":[73],"previous":[75],"methods.":[76],"We":[77],"conducted":[78],"user":[80,102],"study":[81,103],"evaluate":[83],"effectiveness":[85],"hybrid":[88,107,149],"approach.":[89],"results":[91],"were":[92],"compared":[93],"against":[94],"most":[96],"commonly":[97],"used":[98],"glyph-based":[99],"technique.":[100],"shows":[104],"approach":[108,150],"helps":[109],"users":[110,130],"draw":[111],"conclusions":[112],"from":[113],"both":[114],"relationship":[116],"and":[117,126,158],"vertex":[118],"attributes":[119],"more":[124],"quickly":[125],"accurately.":[127],"addition,":[129],"found":[131],"it":[132],"easier":[133],"compare":[135],"different":[136],"same":[140],"entities.":[143],"Finally,":[144],"capability":[146],"is":[151],"demonstrated":[152],"world":[155],"military":[156],"expenditures":[157],"weapon":[159],"transfer":[160],"networks.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
