{"id":"https://openalex.org/W4391148612","doi":"https://doi.org/10.1109/skima59232.2023.10387341","title":"Popularity Prediction of Micro-Blog Hot Topics Based on Time-Series Data","display_name":"Popularity Prediction of Micro-Blog Hot Topics Based on Time-Series Data","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4391148612","doi":"https://doi.org/10.1109/skima59232.2023.10387341"},"language":"en","primary_location":{"id":"doi:10.1109/skima59232.2023.10387341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/skima59232.2023.10387341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","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/A5074687804","display_name":"Mengji Yang","orcid":"https://orcid.org/0000-0002-1569-0257"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mengji Yang","raw_affiliation_strings":["Univ Lyon, Univ Lyon 2, INSA Lyon, Univ Lyon 1,DISP-UR4570,Bron,France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, Univ Lyon 2, INSA Lyon, Univ Lyon 1,DISP-UR4570,Bron,France","institution_ids":["https://openalex.org/I48430043","https://openalex.org/I100532134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081490089","display_name":"A\u00efcha Sekhari","orcid":"https://orcid.org/0000-0002-1184-1433"},"institutions":[{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aicha Sekhari Seklouli","raw_affiliation_strings":["Univ Lyon, Univ Lyon 2, INSA Lyon, Univ Lyon 1,DISP-UR4570,Bron,France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, Univ Lyon 2, INSA Lyon, Univ Lyon 1,DISP-UR4570,Bron,France","institution_ids":["https://openalex.org/I48430043","https://openalex.org/I100532134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057052297","display_name":"Hai-Qing Zhang","orcid":"https://orcid.org/0000-0003-4941-7432"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqing Zhang","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology,Chengdu,China","CUIT - Chengdu University of Information Technology (No.24 Block 1, Xuefu Road, Chengdu, China - China)"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology,Chengdu,China","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"CUIT - Chengdu University of Information Technology (No.24 Block 1, Xuefu Road, Chengdu, China - China)","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052612691","display_name":"Lijuan Ren","orcid":"https://orcid.org/0000-0003-2908-9240"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Ren","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology,Chengdu,China","CUIT - Chengdu University of Information Technology (No.24 Block 1, Xuefu Road, Chengdu, China - China)"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology,Chengdu,China","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"CUIT - Chengdu University of Information Technology (No.24 Block 1, Xuefu Road, Chengdu, China - China)","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101721113","display_name":"Xi Yu","orcid":"https://orcid.org/0000-0001-5764-813X"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Yu","raw_affiliation_strings":["Stirling College, Chengdu University,Chengdu,China","Stirling College, Chengdu University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Stirling College, Chengdu University,Chengdu,China","institution_ids":["https://openalex.org/I4210125143"]},{"raw_affiliation_string":"Stirling College, Chengdu University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033297299","display_name":"Yacine Ouzrout","orcid":"https://orcid.org/0000-0002-8260-1111"},"institutions":[{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yacine Ouzrout","raw_affiliation_strings":["Univ Lyon, Univ Lyon 2, INSA Lyon, Univ Lyon 1,DISP-UR4570,Bron,France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, Univ Lyon 2, INSA Lyon, Univ Lyon 1,DISP-UR4570,Bron,France","institution_ids":["https://openalex.org/I48430043","https://openalex.org/I100532134"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5074687804"],"corresponding_institution_ids":["https://openalex.org/I100532134","https://openalex.org/I48430043"],"apc_list":null,"apc_paid":null,"fwci":0.3335,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56898962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"199","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9929999709129333,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.9674330949783325},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.7522714138031006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7157232761383057},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6406468152999878},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6288324594497681},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5632062554359436},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5565697550773621},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.49032095074653625},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4873703122138977},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.48347359895706177},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4784517288208008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4520948529243469},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.43739235401153564},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41892045736312866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41866976022720337},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39835432171821594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3837425708770752},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3591075539588928},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.3059431314468384},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18628916144371033},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1793164312839508},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10363885760307312}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.9674330949783325},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7522714138031006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7157232761383057},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6406468152999878},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6288324594497681},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5632062554359436},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5565697550773621},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.49032095074653625},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4873703122138977},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.48347359895706177},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4784517288208008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4520948529243469},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.43739235401153564},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41892045736312866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41866976022720337},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39835432171821594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3837425708770752},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3591075539588928},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3059431314468384},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18628916144371033},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1793164312839508},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10363885760307312},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/skima59232.2023.10387341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/skima59232.2023.10387341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04903205v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04903205","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2023), Dec 2023, Kuala Lumpur, Malaysia. pp.199-204, ⟨10.1109/SKIMA59232.2023.10387341⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W561663239","https://openalex.org/W1522301498","https://openalex.org/W1866975135","https://openalex.org/W1992066818","https://openalex.org/W2008658225","https://openalex.org/W2063409723","https://openalex.org/W2063561583","https://openalex.org/W2142342727","https://openalex.org/W2338305720","https://openalex.org/W2520925521","https://openalex.org/W2606042658","https://openalex.org/W2900300044","https://openalex.org/W2907366795","https://openalex.org/W2907776084","https://openalex.org/W2913292019","https://openalex.org/W2969767421","https://openalex.org/W3003506483","https://openalex.org/W3019597125","https://openalex.org/W3177505727","https://openalex.org/W3216596187","https://openalex.org/W4220829750","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2912153778","https://openalex.org/W4288108708","https://openalex.org/W4387163678","https://openalex.org/W2973430807","https://openalex.org/W4385280324","https://openalex.org/W2890685186","https://openalex.org/W2984436043","https://openalex.org/W4390245176","https://openalex.org/W3173606726","https://openalex.org/W4285503423"],"abstract_inverted_index":{"Topic":[0],"popularity":[1,21,110],"prediction":[2,133],"has":[3],"always":[4],"been":[5],"a":[6,68,103,112],"popular":[7],"research":[8],"field.":[9],"In":[10],"previous":[11],"studies,":[12],"traditional":[13],"methods":[14],"are":[15,53,135],"mostly":[16],"used":[17],"to":[18,40,82,90,106],"predict":[19],"the":[20,76,91,108,151],"of":[22,33,78],"topics":[23,42,49,64],"characterized":[24,54],"by":[25,55,121],"long":[26,28,128],"text,":[27],"period,":[29],"and":[30,60,101,127,142],"large":[31],"amounts":[32],"data.":[34],"These":[35],"models":[36,118,154],"do":[37],"not":[38],"apply":[39],"hot":[41,92],"generated":[43],"on":[44,50,98],"social":[45,51],"network":[46],"platforms.":[47],"Hot":[48],"platforms":[52],"rapid":[56],"generation,":[57],"development,":[58],"explosion,":[59],"vanishing,":[61],"resulting":[62],"in":[63,147,155],"often":[65],"disappearing":[66],"within":[67,111],"few":[69],"days":[70],"or":[71],"even":[72],"hours,":[73],"significantly":[74],"reducing":[75],"amount":[77],"data":[79],"available.":[80],"According":[81],"these":[83],"features,":[84],"this":[85,148],"paper":[86,149],"collects":[87],"blogs":[88],"related":[89],"topic":[93],"\u201c2023":[94],"Hangzhou":[95],"Asian":[96],"Games\u201d":[97],"Sina":[99],"Micro-blog,":[100],"designs":[102],"hotness":[104],"formula":[105],"measure":[107],"topic's":[109],"certain":[113],"period.":[114],"Subsequently,":[115],"two":[116,138,152],"baseline":[117,153],"were":[119],"trained":[120],"combining":[122],"convolutional":[123],"neural":[124],"networks":[125],"(CNN)":[126],"short-term":[129],"memory":[130],"(LSTM).":[131],"The":[132,144],"results":[134],"compared":[136],"using":[137],"evaluation":[139],"metrics,":[140],"RMSE":[141],"MAE.":[143],"model":[145],"proposed":[146],"outperforms":[150],"prediction.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}