{"id":"https://openalex.org/W4213088208","doi":"https://doi.org/10.1145/3489088.3489117","title":"Predicting New Covid-19 Outbreak Clusters among the \u201cScience Denial\u201d Communities","display_name":"Predicting New Covid-19 Outbreak Clusters among the \u201cScience Denial\u201d Communities","publication_year":2021,"publication_date":"2021-10-05","ids":{"openalex":"https://openalex.org/W4213088208","doi":"https://doi.org/10.1145/3489088.3489117"},"language":"en","primary_location":{"id":"doi:10.1145/3489088.3489117","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3489088.3489117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications","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/A5042601699","display_name":"Budi Nugroho","orcid":"https://orcid.org/0000-0002-2919-1731"},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":null,"type":"funder","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Budi Nugroho","raw_affiliation_strings":["Research Center for Informatic, National Research and Innovation Agency, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatic, National Research and Innovation Agency, Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055200853","display_name":"Ambar Yoganingrum","orcid":"https://orcid.org/0000-0003-3618-7594"},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":null,"type":"funder","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ambar Yoganingrum","raw_affiliation_strings":["Research Center for Informatic, National Research and Innovation Agency, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatic, National Research and Innovation Agency, Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018270505","display_name":"Arafat Febriandirza","orcid":"https://orcid.org/0000-0002-1390-432X"},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":null,"type":"funder","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Arafat Febriandirza","raw_affiliation_strings":["Research Center for Informatic, National Research and Innovation Agency, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatic, National Research and Innovation Agency, Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017044100","display_name":"Abdurrakhman Prasetyadi","orcid":"https://orcid.org/0000-0001-9533-4967"},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":null,"type":"funder","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Abdurrakhman Prasetyadi","raw_affiliation_strings":["Research Center for Informatic, National Research and Innovation Agency, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatic, National Research and Innovation Agency, Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042601699"],"corresponding_institution_ids":["https://openalex.org/I4387154144"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3660209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9763000011444092,"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/T10833","display_name":"Vaccine Coverage and Hesitancy","score":0.9560999870300293,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"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/denial","display_name":"Denial","score":0.8126417398452759},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6374503374099731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48424002528190613},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3802659511566162},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3644633889198303},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.32911479473114014},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2467162311077118},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2168045938014984},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1977384090423584}],"concepts":[{"id":"https://openalex.org/C2780900520","wikidata":"https://www.wikidata.org/wiki/Q100268981","display_name":"Denial","level":2,"score":0.8126417398452759},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6374503374099731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48424002528190613},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3802659511566162},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3644633889198303},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32911479473114014},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2467162311077118},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2168045938014984},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1977384090423584},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3489088.3489117","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3489088.3489117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2552482844","https://openalex.org/W2625459763","https://openalex.org/W2981620418","https://openalex.org/W3013056994","https://openalex.org/W3025636516","https://openalex.org/W3038011012","https://openalex.org/W3087437038","https://openalex.org/W3103145424","https://openalex.org/W3128372883","https://openalex.org/W3131147869","https://openalex.org/W3134675395","https://openalex.org/W3136547782","https://openalex.org/W3138312297","https://openalex.org/W3145744971","https://openalex.org/W3153731940","https://openalex.org/W3154328592","https://openalex.org/W3159454479","https://openalex.org/W3165561344","https://openalex.org/W3182706339","https://openalex.org/W4244753946"],"related_works":["https://openalex.org/W2035091929","https://openalex.org/W2161226151","https://openalex.org/W2765658188","https://openalex.org/W2235209299","https://openalex.org/W2886198660","https://openalex.org/W1994643043","https://openalex.org/W1997184652","https://openalex.org/W2413774596","https://openalex.org/W206810774","https://openalex.org/W2417152646"],"abstract_inverted_index":{"The":[0,99,117,157],"term":[1],"\u201cherd":[2],"stupidity\u201d":[3],"has":[4],"recently":[5],"gone":[6],"viral":[7],"as":[8,71],"an":[9],"innuendo":[10],"for":[11,162],"our":[12],"country\u2019s":[13],"stuttering":[14],"in":[15,168,177],"dealing":[16],"with":[17,132,146],"the":[18,42,53,58,64,87,90,94,106,112,120,126,144,147,169,173],"Covid-19":[19,59,83,174],"pandemic.":[20],"We":[21,33,68,85],"assessed":[22],"indications":[23],"of":[24,66,82,89,108,114,119,135,150,171],"\u201cscience":[25,109],"denial\u201d":[26,110],"text":[27],"analysis":[28,45],"on":[29],"social":[30,43],"media":[31],"(Twitter).":[32],"developed":[34],"a":[35,103,133,160],"science":[36,154],"denial":[37,155],"indication":[38],"dataset":[39],"by":[40],"utilizing":[41],"network":[44],"(SNA)":[46],"tool":[47],"and":[48,52,111,153],"taking":[49],"geolocation":[50],"data":[51,56],"active":[54],"cases":[55],"from":[57],"National":[60],"Task":[61],"Force":[62],"regarding":[63],"distribution":[65],"clusters.":[67,116],"applied":[69],"regression":[70],"prediction":[72,91,121,127],"algorithms":[73],"to":[74,164],"predict":[75],"areas":[76],"that":[77,125,141],"could":[78],"become":[79],"new":[80,115],"clusters":[81],"spread.":[84],"tested":[86],"performance":[88,122],"algorithm":[92,128],"using":[93],"mean":[95],"absolute":[96],"error":[97],"(MAE).":[98],"experimental":[100],"results":[101,118,131],"show":[102,124],"correlation":[104],"between":[105],"level":[107],"formation":[113],"measurement":[123],"gives":[129],"acceptable":[130],"value":[134],"843":[136],"MAE.":[137],"This":[138],"study":[139],"demonstrated":[140],"Banten":[142],"is":[143],"province":[145],"highest":[148],"percentage":[149],"negative":[151],"sentiment":[152],"text.":[156],"output":[158],"provides":[159],"basis":[161],"policymakers":[163],"determine":[165],"appropriate":[166],"interventions":[167],"context":[170],"controlling":[172],"pandemic,":[175],"especially":[176],"Indonesia.":[178]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
