{"id":"https://openalex.org/W4236877653","doi":"https://doi.org/10.1109/infvis.2005.1532150","title":"Flow map layout","display_name":"Flow map layout","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W4236877653","doi":"https://doi.org/10.1109/infvis.2005.1532150"},"language":"en","primary_location":{"id":"doi:10.1109/infvis.2005.1532150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infvis.2005.1532150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112004963","display_name":"Doantam Phan","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Doantam Phan","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011629374","display_name":"Xiao Ling","orcid":"https://orcid.org/0000-0001-5890-0691"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ling Xiao","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110639918","display_name":"Ronald Yeh","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Yeh","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018111215","display_name":"Pat Hanrahan","orcid":"https://orcid.org/0000-0002-3474-9752"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Hanrahan","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005685978","display_name":"Terry Winograd","orcid":"https://orcid.org/0000-0003-4435-7215"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Winograd","raw_affiliation_strings":["Stanford Univ., CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford Univ., CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":2.0377,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.8865157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"219","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9948999881744385,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7639205455780029},{"id":"https://openalex.org/keywords/flow-map","display_name":"Flow map","score":0.7615083456039429},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6325526237487793},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.6189754605293274},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.534094512462616},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.515531063079834},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5121988654136658},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5083221793174744},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4753296673297882},{"id":"https://openalex.org/keywords/maximum-flow-problem","display_name":"Maximum flow problem","score":0.43587782979011536},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4157862961292267},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3498413562774658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2664174735546112},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2230040431022644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13273409008979797},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.0903719961643219}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7639205455780029},{"id":"https://openalex.org/C25902001","wikidata":"https://www.wikidata.org/wiki/Q1024820","display_name":"Flow map","level":3,"score":0.7615083456039429},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6325526237487793},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.6189754605293274},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.534094512462616},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.515531063079834},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5121988654136658},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5083221793174744},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4753296673297882},{"id":"https://openalex.org/C157469704","wikidata":"https://www.wikidata.org/wiki/Q2585642","display_name":"Maximum flow problem","level":2,"score":0.43587782979011536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4157862961292267},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3498413562774658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2664174735546112},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2230040431022644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13273409008979797},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0903719961643219},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infvis.2005.1532150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infvis.2005.1532150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1519168681","https://openalex.org/W1547533132","https://openalex.org/W1555700537","https://openalex.org/W1585686737","https://openalex.org/W1598860835","https://openalex.org/W1992419399","https://openalex.org/W1997952588","https://openalex.org/W2011779421","https://openalex.org/W2055635454","https://openalex.org/W2059942088","https://openalex.org/W2095301004","https://openalex.org/W2099182613","https://openalex.org/W2106814120","https://openalex.org/W2233207476","https://openalex.org/W4206628879"],"related_works":["https://openalex.org/W4206915070","https://openalex.org/W2804276111","https://openalex.org/W1851375266","https://openalex.org/W3141113327","https://openalex.org/W4311255633","https://openalex.org/W3000598246","https://openalex.org/W789508","https://openalex.org/W2108800124","https://openalex.org/W2360277214","https://openalex.org/W2962292607"],"abstract_inverted_index":{"Cartographers":[0],"have":[1],"long":[2],"used":[3],"flow":[4,43,55,74,86,121],"maps":[5,44,56,75,122],"to":[6,15,112],"show":[7],"the":[8,19,26,33,89],"movement":[9],"of":[10,21,28,35,42,82],"objects":[11],"from":[12],"one":[13,113],"location":[14],"another,":[16],"such":[17],"as":[18],"number":[20,34],"people":[22],"in":[23,37],"a":[24,38,70,80],"migration,":[25],"amount":[27],"goods":[29],"being":[30],"traded,":[31],"or":[32],"packets":[36],"network.":[39],"The":[40],"advantage":[41],"is":[45],"that":[46,99],"they":[47],"reduce":[48],"visual":[49],"clutter":[50],"by":[51,59,95,119],"merging":[52],"edges.":[53],"Most":[54],"are":[57,63,93],"drawn":[58],"hand":[60],"and":[61,85,103,128],"there":[62],"few":[64],"computer":[65],"algorithms":[66,98],"available.":[67],"We":[68,115],"present":[69],"method":[71],"for":[72,123],"generating":[73],"using":[76],"hierarchical":[77],"clustering":[78],"given":[79],"set":[81],"nodes,":[83],"positions,":[84],"data":[87],"between":[88],"nodes.":[90],"Our":[91],"techniques":[92],"inspired":[94],"graph":[96],"layout":[97],"minimize":[100],"edge":[101],"crossings":[102],"distort":[104],"node":[105],"positions":[106],"while":[107],"maintaining":[108],"their":[109],"relative":[110],"position":[111],"another.":[114],"demonstrate":[116],"our":[117],"technique":[118],"producing":[120],"network":[124],"traffic,":[125],"census":[126],"data,":[127],"trade":[129],"data.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2022-05-12T00:00:00"}