{"id":"https://openalex.org/W6926382062","doi":"https://doi.org/10.2312/mlvis.20241124","title":"Introducing Fairness in Graph Visualization via Gradient Descent","display_name":"Introducing Fairness in Graph Visualization via Gradient Descent","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W6926382062","doi":"https://doi.org/10.2312/mlvis.20241124"},"language":"en","primary_location":{"id":"doi:10.2312/mlvis.20241124","is_oa":true,"landing_page_url":"https://doi.org/10.2312/mlvis.20241124","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":""},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/mlvis.20241124","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hong, Seok-Hee","orcid":null},"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":true,"raw_author_name":"Hong, Seok-Hee","raw_affiliation_strings":["University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liotta, Giuseppe","orcid":null},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Liotta, Giuseppe","raw_affiliation_strings":["University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Montecchiani, Fabrizio","orcid":null},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Montecchiani, Fabrizio","raw_affiliation_strings":["University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":null,"display_name":"N\u00f6llenburg, Martin","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"N\u00f6llenburg, Martin","raw_affiliation_strings":["TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":null,"display_name":"Piselli, Tommaso","orcid":null},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Piselli, Tommaso","raw_affiliation_strings":["Universit\u00e0 degli Studi di Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli Studi di Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":0.99967581,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89011943,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.8339999914169312,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.8339999914169312,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.031300000846385956,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11823","display_name":"Natural Resources and Economic Development","score":0.02070000022649765,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6837999820709229},{"id":"https://openalex.org/keywords/graph-drawing","display_name":"Graph drawing","score":0.6256999969482422},{"id":"https://openalex.org/keywords/fairness-measure","display_name":"Fairness measure","score":0.4799000024795532},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.47360000014305115},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.459199994802475},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4415000081062317},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.3995000123977661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7019000053405762},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6837999820709229},{"id":"https://openalex.org/C112953755","wikidata":"https://www.wikidata.org/wiki/Q739462","display_name":"Graph drawing","level":3,"score":0.6256999969482422},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5077000260353088},{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.4799000024795532},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.47360000014305115},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.459199994802475},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4415000081062317},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3995000123977661},{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.3813000023365021},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3325999975204468},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3050000071525574},{"id":"https://openalex.org/C177972170","wikidata":"https://www.wikidata.org/wiki/Q17097315","display_name":"Max-min fairness","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2782000005245209},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.25780001282691956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/mlvis.20241124","is_oa":true,"landing_page_url":"https://doi.org/10.2312/mlvis.20241124","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":""}],"best_oa_location":{"id":"doi:10.2312/mlvis.20241124","is_oa":true,"landing_page_url":"https://doi.org/10.2312/mlvis.20241124","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":""},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.599432110786438}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Motivated":[0],"by":[1,112,129],"the":[2,12,20,31,57,62,69,124],"need":[3],"for":[4,48],"decision-making":[5],"systems":[6],"that":[7,85,105,119],"avoid":[8],"bias":[9],"and":[10],"discrimination,":[11],"concept":[13],"of":[14,23,42,51,71,110,126,137],"fairness":[15,43,73,89,125],"recently":[16],"gained":[17],"traction":[18],"in":[19,44,56,75,135],"broad":[21],"field":[22],"artificial":[24],"intelligence,":[25],"stimulating":[26],"new":[27],"research":[28,64],"also":[29],"within":[30],"information":[32],"visualization":[33],"community.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38,98],"introduce":[39],"a":[40,53,82,91,127,131],"notion":[41],"network":[45],"visualization,":[46],"specifically":[47],"straight-line":[49,76,83,108],"drawings":[50,109],"graphs,":[52],"foundational":[54],"paradigm":[55],"field.":[58],"We":[59,116],"empirically":[60],"investigate":[61],"following":[63],"questions:":[65],"(i)":[66],"What":[67],"is":[68,81],"price":[70],"incorporating":[72],"constraints":[74],"drawings?":[77],"(ii)":[78],"How":[79],"unfair":[80],"drawing":[84,128],"does":[86],"not":[87],"optimize":[88],"as":[90],"primary":[92],"objective?":[93],"To":[94],"tackle":[95],"these":[96],"questions,":[97],"implement":[99],"an":[100],"algorithm":[101],"based":[102],"on":[103],"gradient-descent":[104],"can":[106,121],"compute":[107],"graphs":[111],"optimizing":[113],"multi-objective":[114],"functions.":[115],"experimentally":[117],"show":[118],"one":[120],"significantly":[122],"increase":[123],"paying":[130],"relatively":[132],"small":[133],"amount":[134],"terms":[136],"reduced":[138],"readability.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
