{"id":"https://openalex.org/W2012703196","doi":"https://doi.org/10.1057/palgrave.ivs.9500074","title":"Animated Visualization of Causal Relations Through Growing 2D Geometry","display_name":"Animated Visualization of Causal Relations Through Growing 2D Geometry","publication_year":2004,"publication_date":"2004-07-01","ids":{"openalex":"https://openalex.org/W2012703196","doi":"https://doi.org/10.1057/palgrave.ivs.9500074","mag":"2012703196"},"language":"en","primary_location":{"id":"doi:10.1057/palgrave.ivs.9500074","is_oa":false,"landing_page_url":"https://doi.org/10.1057/palgrave.ivs.9500074","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","raw_type":"journal-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/A5034277315","display_name":"Niklas Elmqvist","orcid":"https://orcid.org/0000-0001-5805-5301"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Niklas Elmqvist","raw_affiliation_strings":["Department of Computing Science, Chalmers University of Technology and G\u00f6teborg University, G\u00f6teborg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, Chalmers University of Technology and G\u00f6teborg University, G\u00f6teborg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003177344","display_name":"Philippas Tsigas","orcid":"https://orcid.org/0000-0001-9635-9154"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Philippas Tsigas","raw_affiliation_strings":["Department of Computing Science, Chalmers University of Technology and G\u00f6teborg University, G\u00f6teborg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, Chalmers University of Technology and G\u00f6teborg University, G\u00f6teborg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034277315"],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":null,"apc_paid":null,"fwci":0.5524,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.68567003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":"3","first_page":"154","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994999766349792,"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":0.9994999766349792,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8103455305099487},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7919049859046936},{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.6559715867042542},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.6217575669288635},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5620722770690918},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.5253771543502808},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4515973925590515},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.4261637032032013},{"id":"https://openalex.org/keywords/creative-visualization","display_name":"Creative visualization","score":0.4136698246002197},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3525077700614929},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3471987545490265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1389215886592865},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10744708776473999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103455305099487},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7919049859046936},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.6559715867042542},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.6217575669288635},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5620722770690918},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.5253771543502808},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4515973925590515},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.4261637032032013},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.4136698246002197},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3525077700614929},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3471987545490265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1389215886592865},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10744708776473999},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1057/palgrave.ivs.9500074","is_oa":false,"landing_page_url":"https://doi.org/10.1057/palgrave.ivs.9500074","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","raw_type":"journal-article"},{"id":"pmh:oai:publications.lib.chalmers.se:4402","is_oa":false,"landing_page_url":"http://publications.lib.chalmers.se/publication/4402-animated-visualization-of-causal-relations-through-growing-2d-geometry","pdf_url":null,"source":{"id":"https://openalex.org/S4377196470","display_name":"Chalmers Publication Library (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text.Article.Journal.PeerReviewed"},{"id":"pmh:oai:pure.atira.dk:publications/3d80ead4-82da-46d9-8537-ecea7fddb751","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/3d80ead4-82da-46d9-8537-ecea7fddb751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Elmqvist , N &amp; Tsigas , P 2004 , ' Animated visualization of causal relations through growing 2D geometry ' , Information Visualization , vol. 3 , no. 3 , pp. 154-172 . https://doi.org/10.1057/palgrave.ivs.9500074","raw_type":"article"},{"id":"pmh:oai:research.chalmers.se:4402","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/4402","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321523","display_name":"Chalmers Tekniska H\u00f6gskola","ror":"https://ror.org/040wg7k59"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1966721282","https://openalex.org/W1973501242","https://openalex.org/W1995364121","https://openalex.org/W2012856773","https://openalex.org/W2017956424","https://openalex.org/W2023972363","https://openalex.org/W2033215361","https://openalex.org/W2034397071","https://openalex.org/W2038015239","https://openalex.org/W2048700136","https://openalex.org/W2051717600","https://openalex.org/W2068959787","https://openalex.org/W2087559932","https://openalex.org/W2110202581","https://openalex.org/W2124262094","https://openalex.org/W2136539207","https://openalex.org/W2152278782","https://openalex.org/W2190890972","https://openalex.org/W2568842486","https://openalex.org/W2997282364","https://openalex.org/W3137220996","https://openalex.org/W3145128584","https://openalex.org/W4246219036","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1858249912","https://openalex.org/W2114034199","https://openalex.org/W2317428717","https://openalex.org/W2734259032","https://openalex.org/W4385261515","https://openalex.org/W3094038556","https://openalex.org/W4296345146","https://openalex.org/W2014772881","https://openalex.org/W4254228154","https://openalex.org/W2615108550"],"abstract_inverted_index":{"Causality":[0],"visualization":[1,28,77,91],"is":[2,130,153],"an":[3,155],"important":[4],"tool":[5],"for":[6,221],"many":[7],"scientific":[8],"domains":[9],"that":[10,79,134],"involve":[11],"complex":[12],"interactions":[13],"between":[14],"multiple":[15],"entities":[16],"(examples":[17],"include":[18],"parallel":[19],"and":[20,41,71,98,108,182],"distributed":[21],"systems":[22],"in":[23,123,146,196],"computer":[24],"science).":[25],"However,":[26],"traditional":[27,105],"techniques":[29,78,101],"such":[30],"as":[31,142,201,203],"Hasse":[32,180],"diagrams":[33],"are":[34],"not":[35],"well-suited":[36],"to":[37,54,60,82,114,187],"large":[38],"system":[39],"executions,":[40],"users":[42],"often":[43],"have":[44,53,102,170,184],"difficulties":[45],"answering":[46],"even":[47],"basic":[48],"questions":[49],"using":[50],"them,":[51],"or":[52],"spend":[55],"inordinate":[56],"amounts":[57],"of":[58,95,117,159,174,198,207],"time":[59,112],"do":[61],"so.":[62],"In":[63],"this":[64,84],"paper,":[65],"we":[66],"present":[67],"the":[68,93,104,111,115,121,124,147,166,204,208],"Growing":[69,72,125,148,212],"Squares":[70,126,213],"Polygons":[73,149],"methods,":[74],"two":[75],"sibling":[76],"were":[80],"designed":[81],"solve":[83],"problem":[85],"by":[86],"providing":[87],"efficient":[88,191,220],"2D":[89],"causality":[90],"through":[92],"use":[94],"color,":[96],"texture,":[97],"animation.":[99],"Both":[100],"abandoned":[103],"linear":[106],"timeline":[107],"instead":[109,154],"map":[110],"parameter":[113],"size":[116],"geometrical":[118],"primitives":[119],"representing":[120],"processes;":[122],"case,":[127,150],"each":[128,151],"process":[129,140,152],"a":[131],"color-coded":[132,163],"square":[133],"receives":[135],"color":[136],"influences":[137,164],"from":[138,165],"other":[139,167],"squares":[141],"messages":[143],"reach":[144],"it;":[145],"n-sided":[156],"polygon":[157],"consisting":[158],"triangular":[160],"sectors":[161],"showing":[162],"processes.":[168],"We":[169],"performed":[171],"user":[172],"studies":[173],"both":[175,195],"techniques,":[176,194],"comparing":[177],"them":[178],"with":[179],"diagrams,":[181],"they":[183],"been":[185],"shown":[186],"be":[188],"significantly":[189,218],"more":[190,219],"than":[192],"old":[193],"terms":[197],"objective":[199],"performance":[200],"well":[202],"subjective":[205],"opinion":[206],"test":[209],"subjects":[210],"(the":[211],"technique":[214],"is,":[215],"however,":[216],"only":[217],"small":[222],"systems).":[223]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
