{"id":"https://openalex.org/W2754144376","doi":"https://doi.org/10.1109/pacificvis.2017.8031596","title":"CactusTree: A tree drawing approach for hierarchical edge bundling","display_name":"CactusTree: A tree drawing approach for hierarchical edge bundling","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2754144376","doi":"https://doi.org/10.1109/pacificvis.2017.8031596","mag":"2754144376"},"language":"en","primary_location":{"id":"doi:10.1109/pacificvis.2017.8031596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacificvis.2017.8031596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Pacific Visualization Symposium (PacificVis)","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/A5032280607","display_name":"Tommy Dang","orcid":"https://orcid.org/0000-0001-8322-0014"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tommy Dang","raw_affiliation_strings":["Department of Computer Science, Texas Tech University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075722001","display_name":"Angus G. Forbes","orcid":"https://orcid.org/0000-0002-8700-7795"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Angus Forbes","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032280607"],"corresponding_institution_ids":["https://openalex.org/I12315562"],"apc_list":null,"apc_paid":null,"fwci":1.0923,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86378853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"210","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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/T13398","display_name":"Data Analysis with R","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.784591555595398},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6680864095687866},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5762879252433777},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5715097188949585},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.563491940498352},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.48040512204170227},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4336045980453491},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.42766258120536804},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4215136766433716},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4164380729198456},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4098743796348572},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35523954033851624},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.3209277093410492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28080201148986816},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12960278987884521},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09422498941421509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0894525945186615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784591555595398},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6680864095687866},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5762879252433777},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5715097188949585},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.563491940498352},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.48040512204170227},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4336045980453491},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.42766258120536804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4215136766433716},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4164380729198456},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4098743796348572},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35523954033851624},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.3209277093410492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28080201148986816},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12960278987884521},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09422498941421509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0894525945186615},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pacificvis.2017.8031596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacificvis.2017.8031596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Pacific Visualization Symposium (PacificVis)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1539816672","https://openalex.org/W1605075824","https://openalex.org/W1659655653","https://openalex.org/W1735790193","https://openalex.org/W1793674997","https://openalex.org/W1798643589","https://openalex.org/W1966218348","https://openalex.org/W1966888503","https://openalex.org/W1971132461","https://openalex.org/W1991600978","https://openalex.org/W2002083291","https://openalex.org/W2008196074","https://openalex.org/W2048366281","https://openalex.org/W2052606569","https://openalex.org/W2060381149","https://openalex.org/W2069162648","https://openalex.org/W2088482084","https://openalex.org/W2106588364","https://openalex.org/W2107139603","https://openalex.org/W2107384560","https://openalex.org/W2117088188","https://openalex.org/W2126619073","https://openalex.org/W2135415614","https://openalex.org/W2135708569","https://openalex.org/W2138488235","https://openalex.org/W2145640629","https://openalex.org/W2148056538","https://openalex.org/W2159367517","https://openalex.org/W2166365305","https://openalex.org/W2171373347","https://openalex.org/W2401991345","https://openalex.org/W2507878054","https://openalex.org/W2951002538","https://openalex.org/W3145400876","https://openalex.org/W4235520738","https://openalex.org/W4253595611","https://openalex.org/W6632204558","https://openalex.org/W6637100662","https://openalex.org/W6638170799","https://openalex.org/W6713188825","https://openalex.org/W6811938030"],"related_works":["https://openalex.org/W2093885745","https://openalex.org/W2351266481","https://openalex.org/W2132547887","https://openalex.org/W2071459461","https://openalex.org/W2516987005","https://openalex.org/W2907786475","https://openalex.org/W2963447120","https://openalex.org/W4289082820","https://openalex.org/W2092152400","https://openalex.org/W2372453241"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"CactusTree,":[3],"a":[4,50],"novel":[5],"visualization":[6],"technique":[7],"for":[8],"representing":[9],"hierarchical":[10],"datasets.":[11],"We":[12,38],"introduce":[13],"details":[14],"about":[15],"the":[16,36,62],"construction":[17],"of":[18,52,58,64,76],"CactusTrees":[19],"and":[20,31,79],"describe":[21],"how":[22,40],"they":[23],"can":[24,68],"be":[25,69],"used":[26,70],"to":[27,49,71],"represent":[28],"nested":[29],"data":[30],"relationships":[32],"between":[33],"elements":[34],"in":[35,74],"data.":[37],"explain":[39],"our":[41],"design":[42],"decisions":[43],"were":[44],"informed":[45],"by":[46],"tasks":[47],"common":[48],"range":[51],"scientific":[53],"domains.":[54],"A":[55],"key":[56],"contribution":[57],"this":[59],"article":[60],"is":[61],"introduction":[63],"descriptive":[65],"features":[66],"that":[67],"characterize":[72],"trees":[73],"terms":[75],"their":[77],"structural":[78],"connective":[80],"qualities.":[81]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}