{"id":"https://openalex.org/W1514461580","doi":"https://doi.org/10.1109/icde.2015.7113425","title":"STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream","display_name":"STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1514461580","doi":"https://doi.org/10.1109/icde.2015.7113425","mag":"1514461580"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2015.7113425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2015.7113425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 31st International Conference on Data Engineering","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/A5068336830","display_name":"Wei Feng","orcid":"https://orcid.org/0000-0003-1907-2664"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Feng","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Tsinghua National Laboratory for Information Science and Technology(TNList), Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology(TNList), Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460272","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0003-3009-598X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Urbana-Champaign, IL, USA","[Dept. of Computer Science, Univ. of Illinois at Urbana, Champaign, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"[Dept. of Computer Science, Univ. of Illinois at Urbana, Champaign, USA]","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394545","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0003-4088-566X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Tsinghua National Laboratory for Information Science and Technology(TNList), Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology(TNList), Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019539533","display_name":"Jiawei Han","orcid":"https://orcid.org/0000-0002-3629-2696"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Urbana-Champaign, IL, USA","[Dept. of Computer Science, Univ. of Illinois at Urbana, Champaign, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"[Dept. of Computer Science, Univ. of Illinois at Urbana, Champaign, USA]","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630868","display_name":"Jianyong Wang","orcid":"https://orcid.org/0000-0002-7555-170X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyong Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Tsinghua National Laboratory for Information Science and Technology(TNList), Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology(TNList), Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028089542","display_name":"Char\u0173 C. Aggarwal","orcid":"https://orcid.org/0000-0003-2579-7581"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charu Aggarwal","raw_affiliation_strings":["IBM T. J. Watson Research Center, NY, USA","[IBM T.J Watson Research Center, NY, USA]"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, NY, USA","institution_ids":[]},{"raw_affiliation_string":"[IBM T.J Watson Research Center, NY, USA]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007928773","display_name":"Jianbin Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbin Huang","raw_affiliation_strings":["Department of Computer Science, Xidian University, Xi'an, China","[Department of Computer Science, Xidian University, Xi'an, China]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"[Department of Computer Science, Xidian University, Xi'an, China]","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5068336830"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":16.701,"has_fulltext":false,"cited_by_count":158,"citation_normalized_percentile":{"value":0.99528459,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8567222952842712},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.7321256399154663},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7092201709747314},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.654880702495575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5958290100097656},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5858924388885498},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5736560225486755},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5564040541648865},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.4327199459075928},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3372184634208679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2469014823436737},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17067816853523254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8567222952842712},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7321256399154663},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7092201709747314},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.654880702495575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5958290100097656},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5858924388885498},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5736560225486755},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5564040541648865},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.4327199459075928},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3372184634208679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2469014823436737},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17067816853523254},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde.2015.7113425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2015.7113425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 31st International Conference on Data Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.673.2218","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.2218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://charuaggarwal.net/icde15_wfeng.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W259338706","https://openalex.org/W1491611863","https://openalex.org/W1534625513","https://openalex.org/W1598339798","https://openalex.org/W1977496449","https://openalex.org/W1989910872","https://openalex.org/W1991539887","https://openalex.org/W1996748299","https://openalex.org/W2007159951","https://openalex.org/W2011949237","https://openalex.org/W2018165284","https://openalex.org/W2028544407","https://openalex.org/W2031655803","https://openalex.org/W2055483934","https://openalex.org/W2063327784","https://openalex.org/W2066667100","https://openalex.org/W2071080574","https://openalex.org/W2110953678","https://openalex.org/W2122371763","https://openalex.org/W2124499489","https://openalex.org/W2128721751","https://openalex.org/W2134206624","https://openalex.org/W2140190241","https://openalex.org/W2149510050","https://openalex.org/W2151802055","https://openalex.org/W2159393864","https://openalex.org/W2163464610","https://openalex.org/W2165878420","https://openalex.org/W2169343523","https://openalex.org/W2170936641","https://openalex.org/W2171468534","https://openalex.org/W2200482854","https://openalex.org/W2267760512","https://openalex.org/W2404243041","https://openalex.org/W6629486361","https://openalex.org/W6632081347","https://openalex.org/W6635594981","https://openalex.org/W6647809188","https://openalex.org/W6664416897","https://openalex.org/W6683596810","https://openalex.org/W6693794674"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W4256502920","https://openalex.org/W103652678","https://openalex.org/W2999756192","https://openalex.org/W4226090359","https://openalex.org/W4382701072","https://openalex.org/W2011624601","https://openalex.org/W2943576608"],"abstract_inverted_index":{"What":[0],"is":[1,79,98,155],"happening":[2,80,99],"around":[3],"the":[4,10,19,55,103,159,164,183],"world?":[5],"When":[6],"and":[7,31,71,128,135,144,169],"where?":[8],"Mining":[9],"geo-tagged":[11],"Twitter":[12],"stream":[13],"makes":[14],"it":[15],"possible":[16],"to":[17,75,95,124,181,204],"answer":[18],"above":[20],"questions":[21],"in":[22,70,81,102],"real-time.":[23],"Although":[24],"a":[25,82,132,149,178,195,217],"single":[26],"tweet":[27],"can":[28,37,68,93,227],"be":[29],"short":[30],"noisy,":[32],"proper":[33],"aggregations":[34],"of":[35,158],"tweets":[36],"provide":[38,228],"meaningful":[39,229],"results.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44,147,176,193,211],"focus":[45],"on":[46,73,216],"hierarchical":[47],"spatio-temporal":[48],"hashtag":[49,116],"clustering":[50],"techniques.":[51],"Our":[52],"system":[53],"has":[54],"following":[56],"features:":[57],"(1)":[58],"Exploring":[59,86],"events":[60,87,127,130],"(hashtag":[61],"clusters)":[62],"with":[63,88,141,167,190,231],"different":[64,89,142,191],"space":[65,143],"granularity.":[66,91],"Users":[67,92],"zoom":[69],"out":[72,77],"maps":[74],"find":[76,125],"what":[78,97],"particular":[83,133],"area.":[84],"(2)":[85],"time":[90,136,145],"choose":[94],"see":[96],"today":[100],"or":[101],"past":[104],"week.":[105],"(3)":[106],"Efficient":[107,119],"single-pass":[108],"algorithm":[109],"for":[110],"event":[111,120,188,207],"identification,":[112],"which":[113,122,154],"provides":[114],"human-readable":[115],"clusters.":[117],"(4)":[118],"ranking":[121,189],"aims":[123],"burst":[126],"localized":[129],"given":[131],"region":[134],"frame.":[137],"To":[138,172,185],"support":[139,186],"aggregation":[140],"granularity,":[146],"propose":[148,177],"data":[150,160],"structure":[151,162],"called":[152],"STREAMCUBE,":[153],"an":[156],"extension":[157],"cube":[161],"from":[163],"database":[165],"community":[166],"spatial":[168],"temporal":[170],"hierarchy.":[171],"achieve":[173],"high":[174,232],"scalability,":[175],"divide-and-conquer":[179],"method":[180],"construct":[182],"STREAMCUBE.":[184],"flexible":[187],"weights,":[192],"proposed":[194],"top-k":[196],"based":[197],"index.":[198],"Different":[199],"efficient":[200],"methods":[201],"are":[202],"used":[203],"speed":[205],"up":[206],"similarity":[208],"computations.":[209],"Finally,":[210],"have":[212],"conducted":[213],"extensive":[214],"experiments":[215],"real":[218],"twitter":[219],"data.":[220],"Experimental":[221],"results":[222,230],"show":[223],"that":[224],"our":[225],"framework":[226],"scalability.":[233]},"counts_by_year":[{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":35},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
