{"id":"https://openalex.org/W3108342895","doi":"https://doi.org/10.1145/3430036.3430065","title":"A visualization of family relations inspired by the London metro map","display_name":"A visualization of family relations inspired by the London metro map","publication_year":2020,"publication_date":"2020-12-02","ids":{"openalex":"https://openalex.org/W3108342895","doi":"https://doi.org/10.1145/3430036.3430065","mag":"3108342895"},"language":"en","primary_location":{"id":"doi:10.1145/3430036.3430065","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430036.3430065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Symposium on Visual Information Communication and Interaction","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/A5032467722","display_name":"Jan Korst","orcid":"https://orcid.org/0000-0002-5789-6165"},"institutions":[{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Jan Korst","raw_affiliation_strings":["Philips Research Eindhoven, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Philips Research Eindhoven, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I4210122849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109152592","display_name":"Verus Pronk","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Verus Pronk","raw_affiliation_strings":["Philips Research Eindhoven, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Philips Research Eindhoven, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I4210122849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051025031","display_name":"Jarke J. van Wijk","orcid":"https://orcid.org/0000-0002-5128-976X"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jarke J. van Wijk","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032467722"],"corresponding_institution_ids":["https://openalex.org/I4210122849"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.5790818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.996399998664856,"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":0.996399998664856,"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/T11106","display_name":"Data Management and Algorithms","score":0.987500011920929,"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/family-tree","display_name":"Family tree","score":0.8632668256759644},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7006168365478516},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.6612274050712585},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5650003552436829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5320815443992615},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4964221119880676},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.4357561469078064},{"id":"https://openalex.org/keywords/metro-station","display_name":"Metro station","score":0.4303860366344452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2765023708343506},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21889087557792664},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.21332401037216187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.197052001953125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16627880930900574},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.14985588192939758},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06857636570930481}],"concepts":[{"id":"https://openalex.org/C80429922","wikidata":"https://www.wikidata.org/wiki/Q189977","display_name":"Family tree","level":2,"score":0.8632668256759644},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7006168365478516},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.6612274050712585},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5650003552436829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5320815443992615},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4964221119880676},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.4357561469078064},{"id":"https://openalex.org/C2994559806","wikidata":"https://www.wikidata.org/wiki/Q928830","display_name":"Metro station","level":2,"score":0.4303860366344452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2765023708343506},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21889087557792664},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.21332401037216187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.197052001953125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16627880930900574},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.14985588192939758},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06857636570930481},{"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:10.1145/3430036.3430065","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430036.3430065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Symposium on Visual Information Communication and Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1988396132","https://openalex.org/W2009823976","https://openalex.org/W2020239183","https://openalex.org/W2106588364","https://openalex.org/W2116904179","https://openalex.org/W2124504009","https://openalex.org/W2141466899","https://openalex.org/W2935996824","https://openalex.org/W3042623940","https://openalex.org/W3042697744","https://openalex.org/W4255775921"],"related_works":["https://openalex.org/W1985727224","https://openalex.org/W2902549273","https://openalex.org/W3113684560","https://openalex.org/W2981001626","https://openalex.org/W2357738827","https://openalex.org/W1966383678","https://openalex.org/W2486717996","https://openalex.org/W3107197685","https://openalex.org/W3130260659","https://openalex.org/W3203092889"],"abstract_inverted_index":{"We":[0,42],"propose":[1],"a":[2,26,57,62,75],"new":[3],"visualization":[4],"of":[5,54,74,94,101,111],"family":[6,9,22,44,58,64],"relations,":[7],"called":[8],"metro":[10,27,59,76,99,109],"map,":[11],"which":[12],"is":[13,23],"inspired":[14],"by":[15,25],"the":[16,30,33,37,39,52,71,92,95],"famous":[17],"London":[18],"Underground":[19],"Map.":[20],"A":[21],"represented":[24],"line,":[28],"where":[29,70],"parents":[31],"are":[32,78,104],"end":[34],"nodes":[35,73],"and":[36,50],"children":[38],"intermediate":[40],"nodes.":[41],"introduce":[43],"trees":[45,49],"as":[46],"rooted":[47],"binary":[48],"consider":[51],"problem":[53],"automatically":[55],"drawing":[56],"map":[60],"for":[61],"given":[63],"tree":[65],"without":[66],"crossing":[67],"line":[68,77],"segments,":[69],"successive":[72],"placed":[79],"at":[80],"equal":[81],"distances.":[82],"The":[83],"inter-node":[84],"distance":[85],"may":[86],"be":[87],"chosen":[88],"to":[89],"depend":[90],"on":[91],"generation":[93],"family,":[96],"such":[97],"that":[98],"lines":[100,110],"earlier":[102],"generations":[103],"shown":[105],"more":[106],"prominently":[107],"than":[108],"later":[112],"generations.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}