{"id":"https://openalex.org/W4417304700","doi":"https://doi.org/10.1109/tvcg.2025.3633905","title":"Neighborhood-Preserving Voronoi Treemaps","display_name":"Neighborhood-Preserving Voronoi Treemaps","publication_year":2025,"publication_date":"2025-12-12","ids":{"openalex":"https://openalex.org/W4417304700","doi":"https://doi.org/10.1109/tvcg.2025.3633905","pmid":"https://pubmed.ncbi.nlm.nih.gov/41385432"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2025.3633905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2025.3633905","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/A5087499523","display_name":"Patrick Paetzold","orcid":"https://orcid.org/0000-0002-1315-4602"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Patrick Paetzold","raw_affiliation_strings":["University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091363610","display_name":"Rebecca Kehlbeck","orcid":"https://orcid.org/0000-0002-0095-5865"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rebecca Kehlbeck","raw_affiliation_strings":["University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103268247","display_name":"Yumeng Xue","orcid":"https://orcid.org/0000-0002-8195-517X"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yumeng Xue","raw_affiliation_strings":["University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068526974","display_name":"Yunhai Wang","orcid":"https://orcid.org/0000-0003-0059-6580"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhai Wang","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036489223","display_name":"Oliver Deu\u00dfen","orcid":"https://orcid.org/0000-0001-5803-2185"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Deussen","raw_affiliation_strings":["University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087499523"],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39821423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"1","first_page":"276","last_page":"286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.33169999718666077,"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":0.33169999718666077,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.15559999644756317,"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"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.07419999688863754,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.9542999863624573},{"id":"https://openalex.org/keywords/centroidal-voronoi-tessellation","display_name":"Centroidal Voronoi tessellation","score":0.8988999724388123},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6504999995231628},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5460000038146973},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5443999767303467},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4747999906539917},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4336000084877014},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.40400001406669617}],"concepts":[{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.9542999863624573},{"id":"https://openalex.org/C205672865","wikidata":"https://www.wikidata.org/wiki/Q5062961","display_name":"Centroidal Voronoi tessellation","level":3,"score":0.8988999724388123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439000010490417},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6504999995231628},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5460000038146973},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5443999767303467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5083000063896179},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5002999901771545},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4747999906539917},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4336000084877014},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C43817857","wikidata":"https://www.wikidata.org/wiki/Q9357547","display_name":"Tessellation (computer graphics)","level":2,"score":0.3716999888420105},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27570000290870667},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.26030001044273376}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2025.3633905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2025.3633905","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:41385432","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41385432","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3248486410","display_name":null,"funder_award_id":"U2436209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4165115172","display_name":null,"funder_award_id":"ZQ2022JQ32","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6401459825","display_name":null,"funder_award_id":"251654672","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8783846746","display_name":null,"funder_award_id":"62132017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322499","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1748744376","https://openalex.org/W1930118087","https://openalex.org/W1966406768","https://openalex.org/W1969483458","https://openalex.org/W1989683591","https://openalex.org/W1990402145","https://openalex.org/W2023283825","https://openalex.org/W2026729066","https://openalex.org/W2027746986","https://openalex.org/W2033737789","https://openalex.org/W2052606569","https://openalex.org/W2072607341","https://openalex.org/W2106588364","https://openalex.org/W2115023660","https://openalex.org/W2126020156","https://openalex.org/W2141461755","https://openalex.org/W2148413148","https://openalex.org/W2150593711","https://openalex.org/W2169022535","https://openalex.org/W2170606151","https://openalex.org/W2171373347","https://openalex.org/W2468929674","https://openalex.org/W2552332226","https://openalex.org/W2561529111","https://openalex.org/W2750652038","https://openalex.org/W2753405889","https://openalex.org/W2790123050","https://openalex.org/W2889326414","https://openalex.org/W2910397750","https://openalex.org/W2963172762","https://openalex.org/W3011791478","https://openalex.org/W3042938618","https://openalex.org/W3122100588","https://openalex.org/W3152038503","https://openalex.org/W4212866951","https://openalex.org/W4230696817","https://openalex.org/W4245891287","https://openalex.org/W4247284649","https://openalex.org/W4251154758","https://openalex.org/W4297235445","https://openalex.org/W4309324523","https://openalex.org/W4376104947","https://openalex.org/W4404915799"],"related_works":[],"abstract_inverted_index":{"Voronoi":[0,57,91,98],"treemaps":[1],"are":[2,127],"used":[3,110],"to":[4,15,64,75,89,95,111,117,130],"depict":[5],"nodes":[6],"and":[7,153,165],"their":[8,131],"hierarchical":[9,17],"relationships":[10],"simultaneously.":[11],"However,":[12],"in":[13],"addition":[14],"the":[16,71,113,119,136,141,158],"structure,":[18],"data":[19,62,79],"attributes,":[20],"such":[21,42],"as":[22,43],"co-occurring":[23],"features":[24],"or":[25,38],"similarities,":[26],"frequently":[27],"exist.":[28],"Examples":[29],"include":[30],"geographical":[31],"attributes":[32],"like":[33],"shared":[34],"borders":[35],"between":[36],"countries":[37],"contextualized":[39],"semantic":[40],"information":[41],"embedding":[44],"vectors":[45],"derived":[46],"from":[47,151],"large":[48],"language":[49],"models.":[50],"In":[51],"this":[52],"work,":[53],"we":[54,69,161],"introduce":[55],"a":[56,84],"treemap":[58,72,163],"algorithm":[59],"that":[60],"leverages":[61],"similarity":[63,77,121],"generate":[65],"neighborhood-preserving":[66],"treemaps.":[67],"First,":[68],"extend":[70],"layout":[73],"pipeline":[74],"consider":[76],"during":[78],"preprocessing.":[80],"We":[81,139],"then":[82],"use":[83],"Kuhn-Munkres":[85],"matching":[86],"of":[87,115,143],"similarities":[88],"centroidal":[90],"tessellation":[92],"(CVT)":[93],"cells":[94,116],"create":[96],"initial":[97],"diagrams":[99],"with":[100],"equal":[101],"cell":[102,125],"sizes":[103,133],"for":[104],"each":[105],"level.":[106],"Greedy":[107],"swapping":[108],"is":[109],"improve":[112],"neighborhoods":[114],"match":[118],"data's":[120],"further.":[122],"During":[123],"optimization,":[124],"areas":[126],"iteratively":[128],"adjusted":[129],"respective":[132],"while":[134],"preserving":[135],"existing":[137],"neighborhoods.":[138],"demonstrate":[140],"practicality":[142],"our":[144],"approach":[145],"through":[146],"multiple":[147],"real-world":[148],"examples":[149],"drawn":[150],"infographics":[152],"linguistics.":[154],"To":[155],"quantitatively":[156],"assess":[157],"resulting":[159],"treemaps,":[160],"employ":[162],"metrics":[164],"measure":[166],"neighborhood":[167],"preservation.":[168]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-12-12T00:00:00"}
