{"id":"https://openalex.org/W2584068365","doi":"https://doi.org/10.1109/bigdata.2016.7841079","title":"Correlation between weather and weather-related tweets \u2014 A preliminary study","display_name":"Correlation between weather and weather-related tweets \u2014 A preliminary study","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2584068365","doi":"https://doi.org/10.1109/bigdata.2016.7841079","mag":"2584068365"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7841079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7841079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","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/A5021150804","display_name":"Srabasti Dutta","orcid":null},"institutions":[{"id":"https://openalex.org/I28334184","display_name":"The University of Arizona Global Campus","ror":"https://ror.org/052bk3d94","country_code":"US","type":"education","lineage":["https://openalex.org/I28334184"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Srabasti Dutta","raw_affiliation_strings":["Ashford University, United States"],"affiliations":[{"raw_affiliation_string":"Ashford University, United States","institution_ids":["https://openalex.org/I28334184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071366906","display_name":"Ray Sumantro","orcid":null},"institutions":[{"id":"https://openalex.org/I1288289746","display_name":"Abcam (United States)","ror":"https://ror.org/02e1wjw63","country_code":"US","type":"company","lineage":["https://openalex.org/I1288289746","https://openalex.org/I4210151096"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumantro Ray","raw_affiliation_strings":["EarthCam Inc., United States"],"affiliations":[{"raw_affiliation_string":"EarthCam Inc., United States","institution_ids":["https://openalex.org/I1288289746"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054032256","display_name":"Simon Roy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Roy","raw_affiliation_strings":["Thinkful, Inc., United States"],"affiliations":[{"raw_affiliation_string":"Thinkful, Inc., United States","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021150804"],"corresponding_institution_ids":["https://openalex.org/I28334184"],"apc_list":null,"apc_paid":null,"fwci":0.2232,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62154577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2016","issue":null,"first_page":"3971","last_page":"3973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9236000180244446,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9236000180244446,"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":0.5723997354507446},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.5581343770027161},{"id":"https://openalex.org/keywords/weather-prediction","display_name":"Weather prediction","score":0.5521496534347534},{"id":"https://openalex.org/keywords/weather-patterns","display_name":"Weather patterns","score":0.514079213142395},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.4928310215473175},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.49009478092193604},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.48279011249542236},{"id":"https://openalex.org/keywords/extreme-weather","display_name":"Extreme weather","score":0.4215043783187866},{"id":"https://openalex.org/keywords/severe-weather","display_name":"Severe weather","score":0.4106614291667938},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.25769174098968506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08532261848449707},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07658180594444275},{"id":"https://openalex.org/keywords/storm","display_name":"Storm","score":0.05424031615257263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5723997354507446},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.5581343770027161},{"id":"https://openalex.org/C2987469573","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather prediction","level":2,"score":0.5521496534347534},{"id":"https://openalex.org/C2993336609","wikidata":"https://www.wikidata.org/wiki/Q11663","display_name":"Weather patterns","level":3,"score":0.514079213142395},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4928310215473175},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.49009478092193604},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.48279011249542236},{"id":"https://openalex.org/C205537798","wikidata":"https://www.wikidata.org/wiki/Q1277161","display_name":"Extreme weather","level":3,"score":0.4215043783187866},{"id":"https://openalex.org/C187460315","wikidata":"https://www.wikidata.org/wiki/Q741507","display_name":"Severe weather","level":3,"score":0.4106614291667938},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.25769174098968506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08532261848449707},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07658180594444275},{"id":"https://openalex.org/C105306849","wikidata":"https://www.wikidata.org/wiki/Q81054","display_name":"Storm","level":2,"score":0.05424031615257263},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2016.7841079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7841079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"mag:2787263865","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702255485646480","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8700000047683716,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2958561312","https://openalex.org/W2122106614","https://openalex.org/W2998567488","https://openalex.org/W4281661178","https://openalex.org/W2984693337","https://openalex.org/W1982264232","https://openalex.org/W4367042111","https://openalex.org/W1997636130","https://openalex.org/W4318969279","https://openalex.org/W4283026652"],"abstract_inverted_index":{"Through":[0],"this":[1],"preliminary":[2],"work,":[3],"we":[4],"are":[5],"trying":[6],"to":[7,29],"understand":[8],"the":[9,27],"human's":[10],"sentiment":[11],"regarding":[12],"climate":[13],"change.":[14],"We":[15,25],"collect":[16],"tweets":[17],"containing":[18],"words":[19],"like":[20],"climate,":[21],"nature":[22],"and":[23,39],"environment.":[24],"analyze":[26],"data":[28],"find":[30],"out":[31],"if":[32],"there":[33],"is":[34],"any":[35],"correlation":[36],"between":[37],"weather":[38],"weather-related":[40],"tweets.":[41]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
