{"id":"https://openalex.org/W2966962513","doi":"https://doi.org/10.1109/access.2019.2935471","title":"Semantic-Aware Visual Abstraction of Large-Scale Social Media Data With Geo-Tags","display_name":"Semantic-Aware Visual Abstraction of Large-Scale Social Media Data With Geo-Tags","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2966962513","doi":"https://doi.org/10.1109/access.2019.2935471","mag":"2966962513"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2935471","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935471","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08801911.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08801911.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014009990","display_name":"Zhiguang Zhou","orcid":"https://orcid.org/0000-0003-2968-7830"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguang Zhou","raw_affiliation_strings":["State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2968-7830","affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045481063","display_name":"Xinlong Zhang","orcid":"https://orcid.org/0009-0004-8040-0553"},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlong Zhang","raw_affiliation_strings":["Information of School, Zhejiang University of Finance and Economics, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information of School, Zhejiang University of Finance and Economics, Hangzhou, China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101057114","display_name":"Xiaoyun Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyun Zhou","raw_affiliation_strings":["Information of School, Zhejiang University of Finance and Economics, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information of School, Zhejiang University of Finance and Economics, Hangzhou, China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100664249","display_name":"Yuhua Liu","orcid":"https://orcid.org/0000-0003-0600-4056"},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Liu","raw_affiliation_strings":["Information of School, Zhejiang University of Finance and Economics, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0600-4056","affiliations":[{"raw_affiliation_string":"Information of School, Zhejiang University of Finance and Economics, Hangzhou, China","institution_ids":["https://openalex.org/I90727586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6948,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74635042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"114851","last_page":"114861"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9962000250816345,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8291773200035095},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6084527373313904},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6025639176368713},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4606037735939026},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.45704182982444763},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.4494395852088928},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43165040016174316},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4261819124221802},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.41309306025505066},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.4042823314666748},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3670094907283783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.341455340385437},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3366634249687195},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20920610427856445},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12563437223434448},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10290208458900452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8291773200035095},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6084527373313904},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6025639176368713},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4606037735939026},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.45704182982444763},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.4494395852088928},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43165040016174316},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4261819124221802},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.41309306025505066},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.4042823314666748},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3670094907283783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.341455340385437},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3366634249687195},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20920610427856445},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12563437223434448},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10290208458900452},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2935471","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935471","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08801911.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6971d1573e7e4c82b7815f6c9acd9b22","is_oa":true,"landing_page_url":"https://doaj.org/article/6971d1573e7e4c82b7815f6c9acd9b22","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 114851-114861 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2935471","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935471","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08801911.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3532080457","display_name":null,"funder_award_id":"A1806","funder_id":"https://openalex.org/F4320322927","funder_display_name":"Zhejiang University"},{"id":"https://openalex.org/G5101022853","display_name":null,"funder_award_id":"LY18F020024","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G8276012629","display_name":null,"funder_award_id":"61802339","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8563069991","display_name":"\u9762\u5411\u5927\u89c4\u6a21\u65f6\u7a7a\u6570\u636e\u7684\u7b80\u5316\u8868\u8fbe\u4e0e\u4ea4\u4e92\u53ef\u89c6\u5206\u6790\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61872314","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"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966962513.pdf","grobid_xml":"https://content.openalex.org/works/W2966962513.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1899829068","https://openalex.org/W1961478032","https://openalex.org/W1971458834","https://openalex.org/W1972594216","https://openalex.org/W1977556410","https://openalex.org/W2009662901","https://openalex.org/W2009878817","https://openalex.org/W2037894060","https://openalex.org/W2052791563","https://openalex.org/W2079749971","https://openalex.org/W2094755907","https://openalex.org/W2099223662","https://openalex.org/W2105039113","https://openalex.org/W2105894416","https://openalex.org/W2106738877","https://openalex.org/W2109857088","https://openalex.org/W2126725946","https://openalex.org/W2131744502","https://openalex.org/W2147152072","https://openalex.org/W2148056538","https://openalex.org/W2158139315","https://openalex.org/W2158176896","https://openalex.org/W2158266063","https://openalex.org/W2166069449","https://openalex.org/W2187089797","https://openalex.org/W2212107515","https://openalex.org/W2333269343","https://openalex.org/W2338896872","https://openalex.org/W2509053658","https://openalex.org/W2516213098","https://openalex.org/W2542768043","https://openalex.org/W2562836854","https://openalex.org/W2572060670","https://openalex.org/W2618215591","https://openalex.org/W2742174786","https://openalex.org/W2753615759","https://openalex.org/W2760903604","https://openalex.org/W2763572577","https://openalex.org/W2766790689","https://openalex.org/W2778625931","https://openalex.org/W2790979073","https://openalex.org/W2804784790","https://openalex.org/W2888104250","https://openalex.org/W2893883473","https://openalex.org/W2901265490","https://openalex.org/W2951559648","https://openalex.org/W2962756421","https://openalex.org/W2963514026","https://openalex.org/W3126103842","https://openalex.org/W4231510805","https://openalex.org/W4233168954","https://openalex.org/W4256228093","https://openalex.org/W4389358162","https://openalex.org/W6636440780","https://openalex.org/W6636510571","https://openalex.org/W6639619044","https://openalex.org/W6640598943","https://openalex.org/W6679155404","https://openalex.org/W6679775712","https://openalex.org/W6683557909","https://openalex.org/W6730713231","https://openalex.org/W6744535071"],"related_works":["https://openalex.org/W2067923524","https://openalex.org/W2911982569","https://openalex.org/W1873226627","https://openalex.org/W3004497735","https://openalex.org/W2136435231","https://openalex.org/W2138646726","https://openalex.org/W3127482518","https://openalex.org/W2148525144","https://openalex.org/W4302879739","https://openalex.org/W1813318416"],"abstract_inverted_index":{"With":[0],"the":[1,26,39,62,72,98,106,112,141,168,176,196],"rapid":[2],"growth":[3],"of":[4,29,47,57,65,74,114,117,132,138,147,159,178,195],"geo-tagged":[5,90],"social":[6,30,67,91,133,150],"media":[7,31,68,92,134,151],"data,":[8,69,135],"it":[9,55],"has":[10],"become":[11],"feasible":[12],"to":[13,60,88,128,166],"explore":[14,175],"topics":[15],"across":[16,77,181],"different":[17],"areas":[18],"through":[19,203],"text":[20,189],"mining":[21],"and":[22,50,70,97,144,174,188,193,206],"geographical":[23,52,118],"visualization.":[24],"However,":[25],"visual":[27,45,63,115,160],"elements":[28],"data":[32,93,152],"always":[33],"overlap":[34],"with":[35],"each":[36],"other":[37],"in":[38,105],"map":[40],"view,":[41],"which":[42,139],"largely":[43],"disturbs":[44],"perception":[46],"semantic":[48,75,99,142,179],"features":[49,76,180],"their":[51],"distribution.":[53],"Thus,":[54],"is":[56,126],"great":[58],"significance":[59],"reduce":[61],"clutter":[64,116],"large-scale":[66],"enhance":[71],"visibility":[73],"local":[78],"areas.":[79],"In":[80],"this":[81],"paper,":[82],"we":[83],"utilize":[84],"a":[85,120,130],"doc2vec":[86],"model":[87,125],"transform":[89],"into":[94],"high-dimensional":[95],"vectors,":[96],"correlation":[100,143],"can":[101],"be":[102],"easily":[103],"characterized":[104],"dimensionality":[107],"reduction":[108,113],"space.":[109],"Aiming":[110],"at":[111],"visualization,":[119],"dual-objective":[121],"blue":[122],"noise":[123],"sampling":[124],"proposed":[127,197],"select":[129],"subset":[131],"by":[136],"means":[137],"both":[140],"spatial":[145],"distribution":[146],"large":[148],"scale":[149],"are":[153,162,200],"well":[154],"retained.":[155],"A":[156],"rich":[157],"set":[158],"designs":[161],"implemented":[163],"enabling":[164],"users":[165],"evaluate":[167],"sampled":[169],"results":[170],"from":[171],"multiple":[172],"perspectives":[173],"changes":[177],"areas,":[182],"such":[183],"as":[184],"heatmap,":[185],"word":[186],"cloud":[187],"stream.":[190],"The":[191],"effectiveness":[192],"validity":[194],"visualization":[198],"system":[199],"further":[201],"demonstrated":[202],"case":[204],"studies":[205],"expert":[207],"reviews.":[208]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}