{"id":"https://openalex.org/W2735631123","doi":"https://doi.org/10.1109/ijcnn.2017.7966112","title":"Sub-event detection from tweets","display_name":"Sub-event detection from tweets","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735631123","doi":"https://doi.org/10.1109/ijcnn.2017.7966112","mag":"2735631123"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5084607456","display_name":"Satya Katragadda","orcid":"https://orcid.org/0000-0003-0128-4773"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Satya Katragadda","raw_affiliation_strings":["Informatics Research Institute, University of Louisiana at Lafayette, Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"Informatics Research Institute, University of Louisiana at Lafayette, Lafayette, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005864826","display_name":"Ryan Benton","orcid":"https://orcid.org/0000-0001-9616-6221"},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Benton","raw_affiliation_strings":["School of Computing, University of South Alabama, Mobile, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of South Alabama, Mobile, USA","institution_ids":["https://openalex.org/I83809506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023699325","display_name":"Vijay V. Raghavan","orcid":"https://orcid.org/0000-0001-7224-7828"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Raghavan","raw_affiliation_strings":["Center for Visual and Decision Informatics, University of Louisiana at Lafayette, Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"Center for Visual and Decision Informatics, University of Louisiana at Lafayette, Lafayette, USA","institution_ids":["https://openalex.org/I79516672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084607456"],"corresponding_institution_ids":["https://openalex.org/I79516672"],"apc_list":null,"apc_paid":null,"fwci":0.172,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47621364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2128","last_page":"2135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9958000183105469,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9860000014305115,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.8459992408752441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7805496454238892},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6363782286643982},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5827276110649109},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4393458664417267},{"id":"https://openalex.org/keywords/complex-event-processing","display_name":"Complex event processing","score":0.4267825484275818},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42069652676582336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3995272219181061},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3474612236022949},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12543824315071106},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09292319416999817}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.8459992408752441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7805496454238892},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6363782286643982},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5827276110649109},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4393458664417267},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.4267825484275818},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42069652676582336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3995272219181061},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3474612236022949},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12543824315071106},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09292319416999817},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.49000000953674316,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W165525898","https://openalex.org/W1521780416","https://openalex.org/W1528751587","https://openalex.org/W1561887350","https://openalex.org/W1629774830","https://openalex.org/W1780541288","https://openalex.org/W1977931290","https://openalex.org/W1980435364","https://openalex.org/W1982029265","https://openalex.org/W1985803298","https://openalex.org/W1998002546","https://openalex.org/W2007760849","https://openalex.org/W2038518475","https://openalex.org/W2040466507","https://openalex.org/W2079034628","https://openalex.org/W2092124750","https://openalex.org/W2097876158","https://openalex.org/W2129043771","https://openalex.org/W2133012565","https://openalex.org/W2137553870","https://openalex.org/W2139672692","https://openalex.org/W2140427797","https://openalex.org/W2145977038","https://openalex.org/W2166563561","https://openalex.org/W2167355161","https://openalex.org/W2170337404","https://openalex.org/W2293546752","https://openalex.org/W2551869738","https://openalex.org/W2587870132","https://openalex.org/W6631622843","https://openalex.org/W6680455949"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2357545310","https://openalex.org/W2151632549","https://openalex.org/W1607805252","https://openalex.org/W2397597979","https://openalex.org/W2799235612","https://openalex.org/W1835640443","https://openalex.org/W4308672222","https://openalex.org/W413387906","https://openalex.org/W2072592647"],"abstract_inverted_index":{"Social":[0],"media":[1,37],"plays":[2],"an":[3,42,65,87,100,109,123,148],"important":[4],"role":[5],"in":[6,10,81,119],"communication":[7],"between":[8,138],"people":[9],"recent":[11],"times.":[12],"This":[13,58],"includes":[14],"information":[15,70,82],"about":[16],"news":[17],"and":[18,49],"events":[19,34,118,144],"that":[20,61,114],"are":[21,145],"currently":[22],"happening.":[23],"Most":[24],"of":[25,64,99,108,122],"the":[26,55,62,79,97,106,120,157],"research":[27],"on":[28,32,74,162],"event":[29,43,66,101,110,149],"detection":[30,56,129,160],"concentrates":[31],"identifying":[33],"from":[35],"social":[36,75],"information.":[38],"These":[39,142],"models":[40],"assume":[41],"to":[44,95,135,147,152],"be":[45],"a":[46,132,163],"single":[47],"entity":[48],"treat":[50],"it":[51],"as":[52,68],"such":[53],"during":[54],"process.":[57],"assumption":[59],"ignores":[60],"composition":[63],"changes":[67],"new":[69],"is":[71],"made":[72],"available":[73],"media.":[76],"To":[77],"capture":[78],"change":[80],"over":[83,102,140],"time,":[84],"we":[85],"extend":[86],"already":[88],"existing":[89],"Event":[90],"Detection":[91],"at":[92],"Onset":[93],"algorithm":[94],"study":[96],"evolution":[98,121],"time.":[103,141],"We":[104,155],"introduce":[105],"concept":[107],"life":[111,150],"cycle":[112,151],"model":[113],"tracks":[115],"various":[116],"key":[117],"event.":[124],"The":[125],"proposed":[126,158],"unsupervised":[127],"sub-event":[128,159],"method":[130],"uses":[131],"threshold-based":[133],"approach":[134,161],"identify":[136,153],"relationships":[137],"sub-events":[139],"related":[143],"mapped":[146],"sub-events.":[154],"evaluate":[156],"large-scale":[164],"Twitter":[165],"corpus.":[166]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}