{"id":"https://openalex.org/W2760903604","doi":"https://doi.org/10.2312/eurovisshort.20171128","title":"TypoTweet Maps: Characterizing Urban Areas through Typographic Social Media Visualization","display_name":"TypoTweet Maps: Characterizing Urban Areas through Typographic Social Media Visualization","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2760903604","doi":"https://doi.org/10.2312/eurovisshort.20171128","mag":"2760903604"},"language":"en","primary_location":{"id":"doi:10.2312/eurovisshort.20171128","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurovisshort.20171128","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/eurovisshort.20171128","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061221661","display_name":"Alex Godwin","orcid":"https://orcid.org/0000-0003-4756-6135"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Godwin, Alex","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661154","display_name":"Yongxin Wang","orcid":"https://orcid.org/0009-0005-4223-2146"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yongxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082668404","display_name":"John Stasko","orcid":"https://orcid.org/0000-0003-4129-7659"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stasko, John T.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9937999844551086,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/visualization","display_name":"Visualization","score":0.6395852565765381},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5329343676567078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4927673637866974},{"id":"https://openalex.org/keywords/legibility","display_name":"Legibility","score":0.4641934633255005},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.41876471042633057},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.37381288409233093},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3498743176460266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23246359825134277},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.22842398285865784},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.12083473801612854}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6395852565765381},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5329343676567078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4927673637866974},{"id":"https://openalex.org/C2779332521","wikidata":"https://www.wikidata.org/wiki/Q1820694","display_name":"Legibility","level":2,"score":0.4641934633255005},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.41876471042633057},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.37381288409233093},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3498743176460266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23246359825134277},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.22842398285865784},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.12083473801612854}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/eurovisshort.20171128","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurovisshort.20171128","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/eurovisshort.20171128","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurovisshort.20171128","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1973803644","https://openalex.org/W1980717771","https://openalex.org/W1992399362","https://openalex.org/W2009662901","https://openalex.org/W2034636363","https://openalex.org/W2047240862","https://openalex.org/W2054451783","https://openalex.org/W2061987443","https://openalex.org/W2073800769","https://openalex.org/W2094083682","https://openalex.org/W2150206717","https://openalex.org/W2206830861","https://openalex.org/W2346011247","https://openalex.org/W3209890397"],"related_works":["https://openalex.org/W3166966691","https://openalex.org/W2594852491","https://openalex.org/W2551188700","https://openalex.org/W3043129294","https://openalex.org/W3117718738","https://openalex.org/W3125236403","https://openalex.org/W2134685109","https://openalex.org/W3202697391","https://openalex.org/W2312798150","https://openalex.org/W3034953028","https://openalex.org/W2753409831","https://openalex.org/W2970858016","https://openalex.org/W3093941289","https://openalex.org/W3102993161","https://openalex.org/W2346561832","https://openalex.org/W2968671570","https://openalex.org/W2214432321"],"abstract_inverted_index":{"Analyzing":[0],"the":[1,10,21,27,83,89,133,148,151,155,162,174,177],"important":[2],"events":[3],"and":[4,41,102,166,168],"news":[5],"stories":[6],"that":[7,23,29,139],"have":[8,60],"captured":[9],"public":[11],"interest":[12],"in":[13,100,126],"a":[14,39,53,71,97,111,170],"city":[15,178],"can":[16,59,69],"be":[17,70],"useful":[18,40],"for":[19,48,75,113,142],"determining":[20,76],"topics":[22,118,128],"are":[24,79,86,140,145],"vital":[25],"to":[26,46,92,161,176],"people":[28,78],"live":[30],"there.":[31],"Social":[32],"media":[33],"data,":[34],"such":[35],"as":[36,119],"tweets,":[37],"provides":[38],"ever-churning":[42],"feed":[43],"of":[44,116,136,150,157,164,179],"data":[45,73,91],"analyze":[47],"this":[49,105],"purpose.":[50],"For":[51],"even":[52],"moderately-sized":[54],"city,":[55],"however,":[56,95],"individual":[57],"neighborhoods":[58,165],"very":[61],"different":[62],"characteristics":[63],"from":[64],"one":[65],"another.":[66],"Geotagged":[67],"tweets":[68,160],"rich":[72],"source":[74],"what":[77],"saying":[80],"online":[81],"about":[82],"location":[84],"they":[85],"in.":[87],"Relating":[88],"text":[90],"spatial":[93],"location,":[94],"presents":[96],"unique":[98],"challenge":[99],"representation":[101],"layout.":[103],"In":[104],"paper,":[106],"we":[107],"introduce":[108],"TypoTweet":[109,122],"Maps:":[110],"technique":[112,175],"constructing":[114],"representations":[115],"neighborhood":[117,127],"typographic":[120],"maps.":[121],"Maps":[123],"show":[124],"differences":[125],"using":[129],"only":[130],"text,":[131],"avoiding":[132],"channel":[134],"interference":[135],"feature":[137],"labels":[138],"unnecessary":[141],"residents":[143],"who":[144],"familiar":[146],"with":[147],"shape":[149,163],"city.":[152],"We":[153],"describe":[154],"process":[156],"mapping":[158],"geotagged":[159],"streets,":[167],"present":[169],"case":[171],"study":[172],"applying":[173],"Atlanta.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
