{"id":"https://openalex.org/W2604275792","doi":"https://doi.org/10.1145/3033288.3033312","title":"Graph Clustering-Based Emerging Event Detection from Twitter Data Stream","display_name":"Graph Clustering-Based Emerging Event Detection from Twitter Data Stream","publication_year":2016,"publication_date":"2016-12-17","ids":{"openalex":"https://openalex.org/W2604275792","doi":"https://doi.org/10.1145/3033288.3033312","mag":"2604275792"},"language":"en","primary_location":{"id":"doi:10.1145/3033288.3033312","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3033288.3033312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Network, Communication and Computing","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/A5027911175","display_name":"Bundit Manaskasemsak","orcid":"https://orcid.org/0000-0001-8075-2787"},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Bundit Manaskasemsak","raw_affiliation_strings":["Massive Information & Knowledge Engineering Laboratory, Department of Computer Engineering, Kasetsart University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Massive Information & Knowledge Engineering Laboratory, Department of Computer Engineering, Kasetsart University, Bangkok, Thailand","institution_ids":["https://openalex.org/I198105771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046306022","display_name":"Bodin Chinthanet","orcid":"https://orcid.org/0000-0003-4439-1608"},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Bodin Chinthanet","raw_affiliation_strings":["Massive Information & Knowledge Engineering Laboratory, Department of Computer Engineering, Kasetsart University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Massive Information & Knowledge Engineering Laboratory, Department of Computer Engineering, Kasetsart University, Bangkok, Thailand","institution_ids":["https://openalex.org/I198105771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033084294","display_name":"Arnon Rungsawang","orcid":"https://orcid.org/0000-0002-7960-790X"},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Arnon Rungsawang","raw_affiliation_strings":["Massive Information & Knowledge Engineering Laboratory, Department of Computer Engineering, Kasetsart University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Massive Information & Knowledge Engineering Laboratory, Department of Computer Engineering, Kasetsart University, Bangkok, Thailand","institution_ids":["https://openalex.org/I198105771"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027911175"],"corresponding_institution_ids":["https://openalex.org/I198105771"],"apc_list":null,"apc_paid":null,"fwci":0.4481,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.68473512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9944000244140625,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.7706539630889893},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.695885419845581},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6390002965927124},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6075740456581116},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.548607587814331},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4845070242881775},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4565832018852234},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4523703157901764},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4326382279396057},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.41676628589630127},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.415994793176651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.277004212141037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24574941396713257},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16126835346221924},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12098667025566101}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7706539630889893},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.695885419845581},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6390002965927124},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6075740456581116},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.548607587814331},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4845070242881775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4565832018852234},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4523703157901764},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4326382279396057},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.41676628589630127},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.415994793176651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.277004212141037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24574941396713257},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16126835346221924},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12098667025566101},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3033288.3033312","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3033288.3033312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Network, Communication and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8299999833106995,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W176212337","https://openalex.org/W190660585","https://openalex.org/W1559747364","https://openalex.org/W1590495275","https://openalex.org/W1890727290","https://openalex.org/W1963548240","https://openalex.org/W1975879668","https://openalex.org/W1976323204","https://openalex.org/W1978394996","https://openalex.org/W1983012012","https://openalex.org/W2002850151","https://openalex.org/W2020360881","https://openalex.org/W2046210419","https://openalex.org/W2059503205","https://openalex.org/W2059750639","https://openalex.org/W2066636486","https://openalex.org/W2084591134","https://openalex.org/W2101196063","https://openalex.org/W2124499489","https://openalex.org/W2125099364","https://openalex.org/W2139043937","https://openalex.org/W2164777277","https://openalex.org/W2170722887","https://openalex.org/W2367146427","https://openalex.org/W3123122501"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W3145575561","https://openalex.org/W2097963413","https://openalex.org/W2995886640","https://openalex.org/W1591475660","https://openalex.org/W2001275470","https://openalex.org/W2157423375"],"abstract_inverted_index":{"Event":[0],"detection":[1],"from":[2,40],"online":[3],"social":[4],"media":[5],"is":[6],"nowadays":[7],"important":[8],"to":[9,36,84],"many":[10],"fields,":[11],"such":[12],"as":[13,53,100,116],"crisis":[14],"notification,":[15],"health":[16],"epidemic":[17],"identification,":[18],"and":[19,146],"trending":[20],"topic":[21],"extraction.":[22],"To":[23],"deal":[24],"with":[25,151],"the":[26,62,76,81,89,106,117,123],"problem,":[27],"in":[28],"this":[29],"paper":[30],"we":[31,73],"propose":[32],"a":[33,46,68],"new":[34],"methodology":[35],"capture":[37],"emerging":[38,118,141],"events":[39,93,112,142],"Twitter":[41,134],"data":[42,135],"stream.":[43,136],"We":[44],"define":[45],"tweet":[47,50,82],"graph":[48,83],"representing":[49],"term":[51],"vectors":[52],"vertices":[54],"associated":[55],"by":[56,148],"their":[57],"content":[58],"similarities.":[59],"Based":[60],"on":[61,80,129],"assumption":[63],"that":[64],"an":[65,101],"event":[66,102],"denotes":[67],"set":[69],"of":[70,91,109,122,132,139],"similar":[71,92],"tweets,":[72],"therefore":[74],"employ":[75],"Markov":[77],"clustering":[78],"algorithm":[79],"group":[85],"related":[86],"tweets.":[87],"Then,":[88],"connected":[90,111],"between":[94],"consecutive":[95],"time":[96],"intervals":[97],"are":[98],"classified":[99],"trend":[103],"line.":[104],"Finally,":[105],"first":[107],"one":[108],"those":[110],"will":[113],"be":[114],"considered":[115],"event.":[119],"Performance":[120],"evaluation":[121],"proposed":[124],"approach":[125],"has":[126],"been":[127,144],"done":[128],"thirty":[130],"days":[131],"extracted":[133],"The":[137],"results":[138],"detected":[140],"have":[143],"studied":[145],"evaluated":[147],"fifteen":[149],"volunteers":[150],"70-80%":[152],"precision.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}