{"id":"https://openalex.org/W2750717372","doi":"https://doi.org/10.1109/tvcg.2017.2744080","title":"How Do Ancestral Traits Shape Family Trees Over Generations?","display_name":"How Do Ancestral Traits Shape Family Trees Over Generations?","publication_year":2017,"publication_date":"2017-08-28","ids":{"openalex":"https://openalex.org/W2750717372","doi":"https://doi.org/10.1109/tvcg.2017.2744080","mag":"2750717372","pmid":"https://pubmed.ncbi.nlm.nih.gov/28866521"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2017.2744080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2017.2744080","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5058364844","display_name":"Siwei Fu","orcid":"https://orcid.org/0000-0001-8329-2448"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Siwei Fu","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000624130","display_name":"Hao Dong","orcid":"https://orcid.org/0000-0003-2261-9122"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Dong","raw_affiliation_strings":["Princeton University"],"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653962","display_name":"Weiwei Cui","orcid":"https://orcid.org/0000-0003-0870-7628"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Weiwei Cui","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101526271","display_name":"Jian Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I26274970","display_name":"FX Palo Alto Laboratory","ror":"https://ror.org/05ef4zt88","country_code":"US","type":"facility","lineage":["https://openalex.org/I26274970"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Zhao","raw_affiliation_strings":["FX Palo Alto Laboratory"],"affiliations":[{"raw_affiliation_string":"FX Palo Alto Laboratory","institution_ids":["https://openalex.org/I26274970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091466289","display_name":"Huamin Qu","orcid":"https://orcid.org/0000-0002-3344-9694"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Huamin Qu","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058364844"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":3.5207,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.92506217,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"24","issue":"1","first_page":"205","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10487","display_name":"Plant and animal studies","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10487","display_name":"Plant and animal studies","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9860000014305115,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9027000069618225,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7073083519935608},{"id":"https://openalex.org/keywords/family-tree","display_name":"Family tree","score":0.689110517501831},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.6017094254493713},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.522846519947052},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.49463769793510437},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.47045910358428955},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.46807822585105896},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45636293292045593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43078145384788513},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4159623384475708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39111408591270447},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3738182485103607},{"id":"https://openalex.org/keywords/genealogy","display_name":"Genealogy","score":0.1618826687335968},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11944898962974548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7073083519935608},{"id":"https://openalex.org/C80429922","wikidata":"https://www.wikidata.org/wiki/Q189977","display_name":"Family tree","level":2,"score":0.689110517501831},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.6017094254493713},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.522846519947052},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.49463769793510437},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.47045910358428955},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.46807822585105896},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45636293292045593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43078145384788513},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4159623384475708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39111408591270447},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3738182485103607},{"id":"https://openalex.org/C53553401","wikidata":"https://www.wikidata.org/wiki/Q47307","display_name":"Genealogy","level":1,"score":0.1618826687335968},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11944898962974548},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tvcg.2017.2744080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2017.2744080","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:28866521","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28866521","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-88390","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-88390","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-88390","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1077-2626&rft.volume=v. 24&rft.issue=(1)&rft.date=2018&rft.spage=205&rft.aulast=Fu&rft.aufirst=Siwei&rft.atitle=How%20Do%20Ancestral%20Traits%20Shape%20Family%20Trees%20over%20Generations%3F&rft.title=IEEE%20Transactions%20on%20Visualization%20and%20Computer%20Graphics%20","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W342445244","https://openalex.org/W1487602974","https://openalex.org/W1585089965","https://openalex.org/W1802191049","https://openalex.org/W1932144848","https://openalex.org/W1947595544","https://openalex.org/W1970569592","https://openalex.org/W1984811500","https://openalex.org/W1988711344","https://openalex.org/W1995730430","https://openalex.org/W2005381675","https://openalex.org/W2006885489","https://openalex.org/W2023283825","https://openalex.org/W2035015768","https://openalex.org/W2039176931","https://openalex.org/W2064657914","https://openalex.org/W2072499721","https://openalex.org/W2073965571","https://openalex.org/W2074930186","https://openalex.org/W2106588364","https://openalex.org/W2115890908","https://openalex.org/W2116904179","https://openalex.org/W2133706996","https://openalex.org/W2135708569","https://openalex.org/W2138199375","https://openalex.org/W2138447434","https://openalex.org/W2142157809","https://openalex.org/W2147243758","https://openalex.org/W2149058621","https://openalex.org/W2155351266","https://openalex.org/W2155475051","https://openalex.org/W2156213545","https://openalex.org/W2156830495","https://openalex.org/W2182218214","https://openalex.org/W2187089797","https://openalex.org/W2283415397","https://openalex.org/W2327243805","https://openalex.org/W2461091501","https://openalex.org/W2558516257","https://openalex.org/W2762557366","https://openalex.org/W2785759028","https://openalex.org/W3151148158","https://openalex.org/W4246354968","https://openalex.org/W4249894953","https://openalex.org/W4253314064","https://openalex.org/W4253595611","https://openalex.org/W4291733759","https://openalex.org/W6629029987","https://openalex.org/W6634960326","https://openalex.org/W6695711003"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2494119046","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W1985727224","https://openalex.org/W3113684560","https://openalex.org/W3130260659"],"abstract_inverted_index":{"Whether":[0],"and":[1,66,76,85,146,153],"how":[2],"does":[3],"the":[4,21,28,42,49,53,151],"structure":[5,145],"of":[6,24,44,51,121,155,172],"family":[7,25,87,170],"trees":[8,26,88,111,122,171],"differ":[9],"by":[10,89],"ancestral":[11,147],"traits":[12],"over":[13],"generations?":[14],"This":[15],"is":[16,105,123],"a":[17,93,98,126,165],"fundamental":[18],"question":[19],"regarding":[20],"structural":[22,90],"heterogeneity":[23],"for":[27,80],"multi-generational":[29,56,81],"transmission":[30],"research.":[31,82],"However,":[32],"previous":[33],"work":[34],"mostly":[35],"focuses":[36],"on":[37,97],"parent-child":[38],"scenarios":[39],"due":[40],"to":[41,47,55,74,108,139],"lack":[43],"proper":[45],"tools":[46],"handle":[48],"complexity":[50],"extending":[52],"research":[54],"processes.":[57],"Through":[58],"an":[59,158],"iterative":[60],"design":[61],"study":[62],"with":[63,112,129,161],"social":[64],"scientists":[65],"historians,":[67],"we":[68],"develop":[69],"TreeEvo":[70,83,133,156],"that":[71],"assists":[72],"users":[73],"generate":[75],"test":[77],"empirical":[78],"hypotheses":[79],"summarizes":[84],"organizes":[86],"features":[91],"in":[92,115],"dynamic":[94],"manner":[95],"based":[96],"traditional":[99],"Sankey":[100,117],"diagram.":[101],"A":[102],"pixel-based":[103],"technique":[104],"further":[106],"proposed":[107],"compactly":[109],"encode":[110],"complex":[113],"structures":[114],"each":[116],"Node.":[118],"Detailed":[119],"information":[120],"accessible":[124],"through":[125,157],"space-efficient":[127],"visualization":[128],"semantic":[130],"zooming.":[131],"Moreover,":[132],"embeds":[134],"Multinomial":[135],"Logit":[136],"Model":[137],"(MLM)":[138],"examine":[140],"statistical":[141],"associations":[142],"between":[143],"tree":[144],"traits.":[148],"We":[149],"demonstrate":[150],"effectiveness":[152],"usefulness":[154],"in-depth":[159],"case-study":[160],"domain":[162],"experts":[163],"using":[164],"real-world":[166],"dataset":[167],"(containing":[168],"54,128":[169],"126,196":[173],"individuals).":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
