{"id":"https://openalex.org/W2013038439","doi":"https://doi.org/10.1109/bigdata.2014.7004324","title":"Identifying top Chinese network buzzwords from social media big data set based on time-distribution features","display_name":"Identifying top Chinese network buzzwords from social media big data set based on time-distribution features","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2013038439","doi":"https://doi.org/10.1109/bigdata.2014.7004324","mag":"2013038439"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2014.7004324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","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/A5026074373","display_name":"Yongli Tang","orcid":"https://orcid.org/0000-0003-2783-7065"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongli Tang","raw_affiliation_strings":["School of Computer, Central China Normal University, Wuhan, China","School of Computer, Central China, Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"School of Computer, Central China, Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102010131","display_name":"Tingting He","orcid":"https://orcid.org/0000-0001-7523-6550"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting He","raw_affiliation_strings":["School of Computer, Central China Normal University, Wuhan, China","School of Computer, Central China, Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"School of Computer, Central China, Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374360","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-6709-0942"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["School of Computer, Central China Normal University, Wuhan, China","School of Computer, Central China, Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"School of Computer, Central China, Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101569679","display_name":"Xiaohua Hu","orcid":"https://orcid.org/0000-0002-4777-3022"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohua Hu","raw_affiliation_strings":["College of Information Science and Technology, Drexel University Philadelphia, PA, USA","College of Information Science & Technology, Drexel University, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Drexel University Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"College of Information Science & Technology, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08046695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"924","last_page":"931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9886999726295471,"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":0.9879000186920166,"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/popularity","display_name":"Popularity","score":0.8223878145217896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6967671513557434},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6115206480026245},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.611373782157898},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5974954962730408},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5749253034591675},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5655736327171326},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5176670551300049},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.48609161376953125},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4655011296272278},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4479331076145172},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.44526711106300354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4384484589099884},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3571540415287018},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20112615823745728},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08601051568984985}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8223878145217896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6967671513557434},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6115206480026245},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.611373782157898},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5974954962730408},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5749253034591675},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5655736327171326},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5176670551300049},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.48609161376953125},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4655011296272278},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4479331076145172},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.44526711106300354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4384484589099884},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3571540415287018},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20112615823745728},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08601051568984985},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2014.7004324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W604349243","https://openalex.org/W655254417","https://openalex.org/W1566018662","https://openalex.org/W1964348731","https://openalex.org/W2012662595","https://openalex.org/W2062530312","https://openalex.org/W2087064685","https://openalex.org/W2093390569","https://openalex.org/W2131417696","https://openalex.org/W2204607951","https://openalex.org/W2394297915","https://openalex.org/W2625722333","https://openalex.org/W4206765718"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2030628044"],"abstract_inverted_index":{"Buzzwords":[0],"are":[1],"the":[2,55,83,103,113,140,148,162],"main":[3],"embodiment":[4],"of":[5,58],"Internet":[6],"culture,":[7],"which":[8,39,97,173],"play":[9],"an":[10],"important":[11],"role":[12],"in":[13,74,125,143,169],"public":[14],"opinion":[15],"analysis,":[16],"social":[17,152],"focus":[18],"tracking":[19],"and":[20,42,60],"language":[21,141],"evolution":[22],"study.":[23],"At":[24],"present,":[25],"questionnaire":[26],"has":[27,88],"been":[28],"wildly":[29],"used":[30],"as":[31,69],"a":[32,50,61,75,89,93,151,170],"standard":[33],"method":[34,109],"to":[35,64,70,150],"obtain":[36],"network":[37],"buzzwords,":[38],"is":[40,98,118,174],"subjective":[41,134],"costly.":[43],"In":[44],"this":[45,126],"paper,":[46],"we":[47],"will":[48,128],"propose":[49],"novel":[51],"algorithm":[52,115,149],"relying":[53],"on":[54],"time-distribution":[56,79],"feature":[57,80],"words":[59],"KL-divergence":[62,104],"measure":[63],"estimate":[65],"words'":[66],"popularity":[67],"so":[68,136],"figure":[71],"out":[72],"buzzwords":[73,123,168],"specific":[76],"period.":[77],"The":[78],"simply":[81],"states":[82],"fact":[84],"that":[85,161],"buzzwords'":[86],"usage":[87,142],"sharp":[90],"increase":[91],"during":[92],"very":[94],"short":[95],"period,":[96,172],"then":[99],"modeled":[100],"formally":[101],"with":[102,107,177],"measure.":[105],"Compared":[106],"traditional":[108],"involving":[110],"much":[111],"workforce,":[112],"automatic":[114],"presented":[116],"here":[117],"clearly":[119],"more":[120],"efficient.":[121],"Moreover,":[122],"identified":[124],"manner":[127],"not":[129],"be":[130],"affected":[131],"by":[132],"individual's":[133],"opinions,":[135],"they":[137],"can":[138,165],"reflect":[139],"practice":[144],"better.":[145],"When":[146],"applying":[147],"media":[153],"big":[154],"data":[155],"set,":[156],"our":[157],"experimental":[158],"results":[159,178],"show":[160],"proposed":[163],"approach":[164],"accurately":[166],"identify":[167],"certain":[171],"highly":[175],"coincident":[176],"tagged":[179],"manually.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
