{"id":"https://openalex.org/W3197535013","doi":"https://doi.org/10.18293/seke2021-092","title":"BEHIND: a 4W-oriented Method for Event Detection from Twitter","display_name":"BEHIND: a 4W-oriented Method for Event Detection from Twitter","publication_year":2021,"publication_date":"2021-07-10","ids":{"openalex":"https://openalex.org/W3197535013","doi":"https://doi.org/10.18293/seke2021-092","mag":"3197535013"},"language":"en","primary_location":{"id":"doi:10.18293/seke2021-092","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-092","pdf_url":"https://doi.org/10.18293/seke2021-092","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2021-092","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042084264","display_name":"Kang Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kang Zeng","raw_affiliation_strings":["College of Computer, National University of Defense Technology Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5042084264"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.2625,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54660082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2021","issue":null,"first_page":"598","last_page":"603"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9948999881744385,"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":0.8018848896026611},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7881226539611816},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7774136066436768},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6772441267967224},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6453235745429993},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6222524642944336},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4990541934967041},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36041319370269775},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1224105954170227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018848896026611},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7881226539611816},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7774136066436768},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6772441267967224},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6453235745429993},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6222524642944336},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4990541934967041},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36041319370269775},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1224105954170227},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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:10.18293/seke2021-092","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-092","pdf_url":"https://doi.org/10.18293/seke2021-092","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2021-092","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-092","pdf_url":"https://doi.org/10.18293/seke2021-092","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3197535013.pdf","grobid_xml":"https://content.openalex.org/works/W3197535013.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1780541288","https://openalex.org/W1860364451","https://openalex.org/W1975563293","https://openalex.org/W2011949237","https://openalex.org/W2089923519","https://openalex.org/W2134048458","https://openalex.org/W2160654919","https://openalex.org/W2168400688","https://openalex.org/W2268918789","https://openalex.org/W2337150356","https://openalex.org/W2463441385","https://openalex.org/W2580717359","https://openalex.org/W2614548997","https://openalex.org/W2789429023","https://openalex.org/W2896457183","https://openalex.org/W2953245460","https://openalex.org/W2954327806","https://openalex.org/W2954837331","https://openalex.org/W2963341956","https://openalex.org/W2963919031","https://openalex.org/W2966969968","https://openalex.org/W2970641574","https://openalex.org/W3098230111","https://openalex.org/W6679893487","https://openalex.org/W6737934546","https://openalex.org/W6765039615","https://openalex.org/W6767361952"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175"],"abstract_inverted_index":{"Event":[0],"detection":[1,57,68,111],"from":[2,7,26],"Twitter":[3,63],"has":[4],"attracted":[5],"attention":[6],"researchers":[8],"in":[9,38,59,62,82,96,151],"the":[10,15,23,41,53,73,80,94,196],"past":[11],"decade":[12],"due":[13],"to":[14,32,45,138,147,156,165,174],"widespread":[16],"use":[17],"of":[18,55,104],"social":[19],"media.":[20],"By":[21],"leveraging":[22],"knowledge":[24],"derived":[25],"these":[27],"events,":[28],"it":[29],"is":[30,145],"possible":[31],"understand":[33],"what":[34],"consumers":[35],"are":[36,84,129,136,163],"interested":[37],"and":[39,100,106,120,134,187,191],"give":[40],"opportunity":[42],"for":[43,124],"organizations":[44],"make":[46],"better":[47],"decisions.":[48],"Numerous":[49],"studies":[50],"have":[51],"proven":[52],"advantage":[54],"burst":[56,67],"methods":[58,69],"detecting":[60],"events":[61,78,83,105,166,194],"streams.":[64],"However,":[65],"some":[66],"mainly":[70],"focus":[71,92],"on":[72,93],"bursty":[74,142],"characteristics":[75],"caused":[76],"by":[77],"while":[79],"elements":[81,95],"not":[85],"fully":[86],"utilized.":[87],"In":[88],"this":[89],"paper,":[90],"we":[91,167],"When,":[97],"Where,":[98],"Who,":[99],"What":[101],"(4W)":[102],"dimensions":[103,153],"propose":[107],"a":[108,171],"4W-oriented":[109],"event":[110,125],"method":[112,183],"called":[113],"BEHIND.":[114],"BEHIND":[115],"jointly":[116],"uses":[117],"Bursty":[118,127],"Elements":[119,128],"Heterogeneous":[121],"Information":[122],"Network(HIN)":[123],"detection.":[126],"calculated":[130],"through":[131],"probability":[132],"distribution":[133],"they":[135],"used":[137,146,170],"select":[139],"tweets":[140,155],"with":[141],"elements.":[143],"HIN":[144],"enhance":[148],"relevance":[149],"judgment":[150],"4W":[152],"between":[154],"help":[157],"cluster":[158],"tweets.":[159],"The":[160],"tweet":[161],"clusters":[162],"corresponding":[164],"detected.":[168],"We":[169],"benchmark":[172],"dataset":[173],"evaluate":[175],"our":[176,182],"method.":[177],"Experimental":[178],"results":[179],"demonstrate":[180],"that":[181],"achieves":[184],"higher":[185],"precision":[186],"less":[188],"duplication":[189],"rate,":[190],"detects":[192],"more":[193],"than":[195],"state-of-the-art":[197],"methods.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}