{"id":"https://openalex.org/W2931939813","doi":"https://doi.org/10.1142/s1793351x19400063","title":"K2: A Novel Data Analysis Framework to Understand US Emotions in Space and Time","display_name":"K2: A Novel Data Analysis Framework to Understand US Emotions in Space and Time","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2931939813","doi":"https://doi.org/10.1142/s1793351x19400063","mag":"2931939813"},"language":"en","primary_location":{"id":"doi:10.1142/s1793351x19400063","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x19400063","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","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/A5078618891","display_name":"Romita Banerjee","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Romita Banerjee","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, Texas, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015509775","display_name":"Karima Elgarroussi","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karima Elgarroussi","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, Texas, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066403927","display_name":"Sujing Wang","orcid":"https://orcid.org/0000-0002-8774-6328"},"institutions":[{"id":"https://openalex.org/I177898655","display_name":"Lamar University","ror":"https://ror.org/008ms5s18","country_code":"US","type":"education","lineage":["https://openalex.org/I177898655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sujing Wang","raw_affiliation_strings":["Department of Computer Science, Lamar University, Beaumont, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Lamar University, Beaumont, Texas, USA","institution_ids":["https://openalex.org/I177898655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019791604","display_name":"Akhil Talari","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akhil Talari","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, Texas, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085519824","display_name":"Yongli Zhang","orcid":"https://orcid.org/0000-0001-7079-7973"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongli Zhang","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, Texas, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056584154","display_name":"Christoph F. Eick","orcid":"https://orcid.org/0000-0002-6798-103X"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christoph F. Eick","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, Texas, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04060375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"01","first_page":"111","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9857000112533569,"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":0.9857000112533569,"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/T13283","display_name":"Mental Health Research Topics","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9735999703407288,"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":0.7265620231628418},{"id":"https://openalex.org/keywords/unary-operation","display_name":"Unary operation","score":0.6181915402412415},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.450946569442749},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4379969835281372},{"id":"https://openalex.org/keywords/storytelling","display_name":"Storytelling","score":0.4233604669570923},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4138694703578949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3372461795806885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1551874577999115},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.11719745397567749}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7265620231628418},{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.6181915402412415},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.450946569442749},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4379969835281372},{"id":"https://openalex.org/C2776538412","wikidata":"https://www.wikidata.org/wiki/Q989963","display_name":"Storytelling","level":3,"score":0.4233604669570923},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4138694703578949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3372461795806885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1551874577999115},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.11719745397567749},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793351x19400063","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x19400063","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1997141861","https://openalex.org/W2099366530","https://openalex.org/W2117945084","https://openalex.org/W2131115373","https://openalex.org/W2169043220","https://openalex.org/W4233014035"],"related_works":["https://openalex.org/W2524826070","https://openalex.org/W2166285859","https://openalex.org/W2060412688","https://openalex.org/W1538206641","https://openalex.org/W3211656382","https://openalex.org/W2025370853","https://openalex.org/W3148597776","https://openalex.org/W1972183506","https://openalex.org/W3142104043","https://openalex.org/W44548238"],"abstract_inverted_index":{"Twitter":[0,23],"is":[1,82],"one":[2],"of":[3,13,71,75,87,136,204,289,295],"the":[4,68,83,91,101,130,166,190,205,241,273,287,293],"most":[5],"popular":[6],"social":[7],"media":[8],"platforms":[9],"used":[10,65,185],"by":[11],"millions":[12],"users":[14],"daily":[15],"to":[16,66,188,201,266],"post":[17],"their":[18],"opinions":[19],"and":[20,47,59,85,89,95,116,180,196,219,232,238,245],"emotions.":[21],"Consequently,":[22],"tweets":[24,92,284],"have":[25,184],"become":[26],"a":[27,39,53,72,111,121,134,142,151,153,156,174,210,258],"valuable":[28],"knowledge":[29],"source":[30],"for":[31,43,79,252,256],"emotion":[32,45,48,97,115,221],"analysis.":[33,50],"In":[34,226],"this":[35,229],"paper,":[36],"we":[37,169,208],"present":[38],"new":[40],"framework,":[41,230],"K2,":[42],"tweet":[44],"mapping":[46],"change":[49,212,234,246],"It":[51],"introduces":[52],"novel,":[54],"generic":[55],"spatio-temporal":[56,268,275],"data":[57,269,276],"analysis":[58,213,277],"storytelling":[60,270],"framework":[61,81,127,214],"that":[62,177,215],"can":[63,149],"be":[64,150,250],"understand":[67],"emotional":[69],"evolution":[70],"specific":[73,143],"section":[74],"population.":[76],"The":[77],"input":[78,131],"our":[80,281],"location":[84],"time":[86,144,147],"where":[88],"when":[90],"were":[93],"posted":[94],"an":[96],"assessment":[98],"score":[99],"in":[100,165,286,292],"range":[102],"[Formula:":[103,107,117],"see":[104,108,118],"text],":[105],"with":[106,138,193],"text]":[109,119],"representing":[110,120,141],"very":[112,122],"high":[113,123],"positive":[114,179,195,218],"negative":[124,181,198,220],"emotion.":[125],"Our":[126],"first":[128],"segments":[129],"dataset":[132],"into":[133,173],"number":[135],"batches":[137],"each":[139,171,202],"batch":[140,172],"interval.":[145],"This":[146],"interval":[148],"week,":[152],"month":[154,294],"or":[155],"day.":[157],"By":[158],"generalizing":[159],"existing":[160],"kernel":[161],"density":[162],"estimation":[163],"techniques":[164,265],"next":[167],"step,":[168],"transform":[170],"continuous":[175],"function":[176],"takes":[178],"values.":[182],"We":[183,261,279],"contouring":[186],"algorithms":[187],"find":[189],"contiguous":[191],"regions":[192,222],"highly":[194,197],"emotions":[199],"belonging":[200],"member":[203],"batch.":[206],"Finally,":[207],"apply":[209],"generic,":[211],"monitors":[216],"how":[217],"evolve":[223],"over":[224],"time.":[225],"particular,":[227],"using":[228,283],"unary":[231],"binary":[233],"predicate":[235],"are":[236],"defined":[237],"matched":[239],"against":[240],"identified":[242],"spatial":[243,254],"clusters,":[244],"relationships":[247],"will":[248],"then":[249],"recorded,":[251],"those":[253],"clusters":[255],"which":[257],"match":[259],"occurs.":[260],"also":[262],"propose":[263],"animation":[264],"facilitate":[267],"based":[271],"on":[272],"obtained":[274],"results.":[278],"demo":[280],"approach":[282],"collected":[285],"state":[288],"New":[290],"York":[291],"June":[296],"2014.":[297]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}