{"id":"https://openalex.org/W4366003676","doi":"https://doi.org/10.1145/3579473","title":"ContextWing: Pair-wise Visual Comparison for Evolving Sequential Patterns of Contexts in Social Media Data Streams","display_name":"ContextWing: Pair-wise Visual Comparison for Evolving Sequential Patterns of Contexts in Social Media Data Streams","publication_year":2023,"publication_date":"2023-04-14","ids":{"openalex":"https://openalex.org/W4366003676","doi":"https://doi.org/10.1145/3579473"},"language":"en","primary_location":{"id":"doi:10.1145/3579473","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3579473","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","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/A5035507554","display_name":"Yuheng Zhao","orcid":"https://orcid.org/0000-0003-1573-8772"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuheng Zhao","raw_affiliation_strings":["Fudan Univerisity, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan Univerisity, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078589442","display_name":"Xinyu Wang","orcid":"https://orcid.org/0000-0003-4110-0545"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005080099","display_name":"Chen Guo","orcid":"https://orcid.org/0000-0002-5130-0455"},"institutions":[{"id":"https://openalex.org/I11883440","display_name":"James Madison University","ror":"https://ror.org/028pmsz77","country_code":"US","type":"education","lineage":["https://openalex.org/I11883440"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Guo","raw_affiliation_strings":["James Madison University, Harrisonburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"James Madison University, Harrisonburg, VA, USA","institution_ids":["https://openalex.org/I11883440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010444353","display_name":"Min L\u00fc","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Lu","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109616081","display_name":"Siming Chen","orcid":"https://orcid.org/0000-0002-2690-3588"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siming Chen","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035507554"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.6295,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68293511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"7","issue":"CSCW1","first_page":"1","last_page":"31"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9900000095367432,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9815000295639038,"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":0.8538926839828491},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6063757538795471},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.5793706774711609},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.5653952956199646},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5330283641815186},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4771273136138916},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4666125178337097},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45932242274284363},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4515863060951233},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4247530996799469},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.42347991466522217},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4136538505554199},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3622848391532898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3450591564178467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33861708641052246},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.32243263721466064},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20251771807670593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8538926839828491},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6063757538795471},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.5793706774711609},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.5653952956199646},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5330283641815186},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4771273136138916},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4666125178337097},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45932242274284363},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4515863060951233},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4247530996799469},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42347991466522217},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4136538505554199},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3622848391532898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3450591564178467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33861708641052246},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32243263721466064},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20251771807670593},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3579473","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3579473","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4847061312","display_name":null,"funder_award_id":"NSFC No.62202105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1928219753","https://openalex.org/W1966299956","https://openalex.org/W1972594216","https://openalex.org/W1974081281","https://openalex.org/W1984865079","https://openalex.org/W1995613787","https://openalex.org/W2017265987","https://openalex.org/W2020098460","https://openalex.org/W2021001446","https://openalex.org/W2046336997","https://openalex.org/W2052791563","https://openalex.org/W2071066826","https://openalex.org/W2074930186","https://openalex.org/W2075038621","https://openalex.org/W2094755907","https://openalex.org/W2099223662","https://openalex.org/W2103868202","https://openalex.org/W2109857088","https://openalex.org/W2114313114","https://openalex.org/W2130247386","https://openalex.org/W2135576300","https://openalex.org/W2141880430","https://openalex.org/W2142493242","https://openalex.org/W2151620113","https://openalex.org/W2155123448","https://openalex.org/W2159504010","https://openalex.org/W2212107515","https://openalex.org/W2295555357","https://openalex.org/W2333107105","https://openalex.org/W2347047954","https://openalex.org/W2510507909","https://openalex.org/W2601243251","https://openalex.org/W2625126745","https://openalex.org/W2751305043","https://openalex.org/W2766258773","https://openalex.org/W2787623698","https://openalex.org/W2789701916","https://openalex.org/W2795673640","https://openalex.org/W2810861266","https://openalex.org/W2868189283","https://openalex.org/W2905165600","https://openalex.org/W2905653271","https://openalex.org/W2917725870","https://openalex.org/W2920827662","https://openalex.org/W2942345201","https://openalex.org/W2974506216","https://openalex.org/W2997916979","https://openalex.org/W3043206997","https://openalex.org/W3096817374","https://openalex.org/W3197806518","https://openalex.org/W3203384454","https://openalex.org/W4205359795","https://openalex.org/W4226338932"],"related_works":["https://openalex.org/W4389670110","https://openalex.org/W2187546663","https://openalex.org/W2429057255","https://openalex.org/W148745890","https://openalex.org/W2611942503","https://openalex.org/W4210310791","https://openalex.org/W2062940763","https://openalex.org/W2937343495","https://openalex.org/W4360833258","https://openalex.org/W3048864202"],"abstract_inverted_index":{"Understanding":[0],"and":[1,24,30,76,79,83,107,112,127,145,160,174],"comparing":[2],"the":[3,33,40,105,121,158],"evolution":[4],"of":[5,28,62,71,123,153,162],"public":[6,81],"opinions":[7],"on":[8,142],"a":[9,17,124,135,150,175],"social":[10],"media":[11],"event":[12],"is":[13,37,92],"important.":[14],"However,":[15],"such":[16],"task":[18],"requires":[19],"summarizing":[20],"rich":[21],"semantic":[22,113],"information":[23],"an":[25,49],"in-depth":[26],"comparison":[27,57],"semantics":[29],"dynamics":[31],"at":[32],"same":[34],"time,":[35],"which":[36],"difficult":[38],"for":[39,58,134],"analysis.":[41],"To":[42],"tackle":[43],"these":[44],"challenges,":[45],"we":[46],"propose":[47],"ContextWing,":[48],"interactive":[50],"visual":[51],"analytics":[52],"system":[53,139],"to":[54,94,103,130],"support":[55,120],"pair-wise":[56,84],"evolving":[59],"sequential":[60,77,97],"patterns":[61,98,133],"contexts":[63,102,129],"between":[64,115],"two":[65,116,171],"data":[66],"streams.":[67,117],"The":[68,138],"computational":[69],"model":[70],"ContextWing":[72,163],"generates":[73],"dynamic":[74],"topics":[75],"patterns,":[78],"characterizes":[80],"attention":[82],"correlations.":[85],"A":[86],"novel":[87],"multi-layer":[88],"bilateral":[89],"wing":[90],"metaphor":[91],"designed":[93],"intuitively":[95],"visualizes":[96],"merged":[99],"by":[100],"different":[101],"reveal":[104],"similarities":[106],"differences":[108],"in":[109],"both":[110,143],"temporal":[111],"aspects":[114],"Interactive":[118],"tools":[119],"selection":[122],"central":[125],"keyword":[126],"its":[128],"iteratively":[131],"generate":[132],"focused":[136],"exploration.":[137],"supports":[140],"analysis":[141],"static":[144],"streaming":[146],"settings":[147],"that":[148],"enables":[149],"wider":[151],"range":[152],"application":[154],"scenarios.":[155],"We":[156],"verify":[157],"effectiveness":[159],"usability":[161],"from":[164],"multiple":[165],"facets,":[166],"including":[167],"three":[168],"case":[169],"studies,":[170],"expert":[172],"interviews,":[173],"user":[176],"study.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}