{"id":"https://openalex.org/W2105400363","doi":"https://doi.org/10.1145/2484028.2484057","title":"Emerging topic detection for organizations from microblogs","display_name":"Emerging topic detection for organizations from microblogs","publication_year":2013,"publication_date":"2013-07-28","ids":{"openalex":"https://openalex.org/W2105400363","doi":"https://doi.org/10.1145/2484028.2484057","mag":"2105400363"},"language":"en","primary_location":{"id":"doi:10.1145/2484028.2484057","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2484057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","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/A5101820341","display_name":"Yan Chen","orcid":"https://orcid.org/0000-0001-5881-9682"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Chen","raw_affiliation_strings":["Beihang University, Beijing, China","BeiHang University, BeiJing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"BeiHang University, BeiJing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103172464","display_name":"Hadi Amiri","orcid":"https://orcid.org/0000-0002-3485-6697"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hadi Amiri","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036786337","display_name":"Zhoujun Li","orcid":"https://orcid.org/0000-0002-9603-9713"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhoujun Li","raw_affiliation_strings":["Beihang University, Beijing, China","BeiHang University, BeiJing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"BeiHang University, BeiJing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101820341"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":13.2196,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":{"value":0.99148874,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"52"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9977999925613403,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.996999979019165,"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/microblogging","display_name":"Microblogging","score":0.8472988605499268},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7783769369125366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7497179508209229},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6454282999038696},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5883476138114929},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5039038062095642},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4246731698513031},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.40284836292266846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21351072192192078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13205039501190186}],"concepts":[{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.8472988605499268},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7783769369125366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7497179508209229},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6454282999038696},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5883476138114929},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5039038062095642},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4246731698513031},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.40284836292266846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21351072192192078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13205039501190186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2484028.2484057","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2484057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W165525898","https://openalex.org/W1583837637","https://openalex.org/W1590495275","https://openalex.org/W1873332500","https://openalex.org/W1880262756","https://openalex.org/W1973897992","https://openalex.org/W1983012012","https://openalex.org/W1991018417","https://openalex.org/W1998224037","https://openalex.org/W2018165284","https://openalex.org/W2036352360","https://openalex.org/W2046677795","https://openalex.org/W2047298125","https://openalex.org/W2063904635","https://openalex.org/W2064988570","https://openalex.org/W2072644219","https://openalex.org/W2081250600","https://openalex.org/W2082250201","https://openalex.org/W2097089247","https://openalex.org/W2107008379","https://openalex.org/W2107533994","https://openalex.org/W2107628405","https://openalex.org/W2124499489","https://openalex.org/W2147913025","https://openalex.org/W2171343266","https://openalex.org/W3021047884","https://openalex.org/W4234917632","https://openalex.org/W4365799947"],"related_works":["https://openalex.org/W2728430307","https://openalex.org/W2107786128","https://openalex.org/W2053241453","https://openalex.org/W2153980712","https://openalex.org/W2537388533","https://openalex.org/W2978974359","https://openalex.org/W2036556872","https://openalex.org/W2021183651","https://openalex.org/W2017590198","https://openalex.org/W2353191283"],"abstract_inverted_index":{"Microblog":[0],"services":[1,17],"have":[2,34],"emerged":[3],"as":[4,28,30],"an":[5,142],"essential":[6],"way":[7],"to":[8,50,88,114,120,146,159,184],"strengthen":[9],"the":[10,75,83,86,90,116,121,132],"communications":[11],"among":[12],"individuals":[13],"and":[14,20,23,33,58,82,96,135,150,156,189],"organizations.":[15,41],"These":[16],"promote":[18],"timely":[19],"active":[21],"discussions":[22],"comments":[24],"towards":[25],"products,":[26],"markets":[27],"well":[29,188],"public":[31],"events,":[32],"attracted":[35],"a":[36,111,152,170],"lot":[37],"of":[38,47,77,93,127,154],"attentions":[39],"from":[40],"In":[42],"particular,":[43],"emerging":[44,70,91,165,186],"topics":[45,95,187],"are":[46],"immediate":[48],"concerns":[49,56],"organizations":[51],"since":[52],"they":[53,100,193],"signal":[54],"current":[55],"of,":[57],"feedback":[59],"by":[60,124],"their":[61,136],"users.":[62],"Two":[63],"challenges":[64],"must":[65],"be":[66],"tackled":[67],"for":[68],"effective":[69],"topic":[71],"detection.":[72],"One":[73],"is":[74,85,182],"problem":[76],"real-time":[78],"relevant":[79,117],"data":[80,177],"collection":[81],"other":[84],"ability":[87],"model":[89],"characteristics":[92],"detected":[94],"identify":[97],"them":[98,191],"before":[99,192],"become":[101,194],"hot":[102,164,195],"topics.":[103,166,196],"To":[104],"tackle":[105],"these":[106],"challenges,":[107],"we":[108],"first":[109],"design":[110],"novel":[112],"scheme":[113,181],"crawl":[115],"messages":[118],"related":[119],"designated":[122],"organization":[123],"monitoring":[125],"multi-aspects":[126],"microblog":[128],"content,":[129],"including":[130],"users,":[131],"evolving":[133],"keywords":[134],"temporal":[137,157],"sequence.":[138],"We":[139],"then":[140],"develop":[141],"incremental":[143],"clustering":[144],"framework":[145],"detect":[147,190],"new":[148],"topics,":[149],"employ":[151],"range":[153],"content":[155],"features":[158],"help":[160],"in":[161],"promptly":[162],"detecting":[163],"Extensive":[167],"evaluations":[168],"on":[169,175],"representative":[171],"real-world":[172],"dataset":[173],"based":[174],"Twitter":[176],"demonstrate":[178],"that":[179],"our":[180],"able":[183],"characterize":[185]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":20},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
