{"id":"https://openalex.org/W3024007524","doi":"https://doi.org/10.1109/tkde.2020.2994946","title":"Predicting Hot Events in the Early Period through Bayesian Model for Social Networks","display_name":"Predicting Hot Events in the Early Period through Bayesian Model for Social Networks","publication_year":2020,"publication_date":"2020-05-16","ids":{"openalex":"https://openalex.org/W3024007524","doi":"https://doi.org/10.1109/tkde.2020.2994946","mag":"3024007524"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.2994946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2994946","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5088303468","display_name":"Zuowu Zheng","orcid":"https://orcid.org/0000-0002-0881-7432"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuowu Zheng","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-0881-7432","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019439900","display_name":"Xiaofeng Gao","orcid":"https://orcid.org/0000-0003-1776-8799"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Gao","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, P.R. China"],"raw_orcid":"https://orcid.org/0000-0003-1776-8799","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743783","display_name":"Xiao Ma","orcid":"https://orcid.org/0000-0001-5466-867X"},"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":"Xiao Ma","raw_affiliation_strings":["Adaptive Computing Group, School of Computing, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-5466-867X","affiliations":[{"raw_affiliation_string":"Adaptive Computing Group, School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428808","display_name":"Guihai Chen","orcid":"https://orcid.org/0000-0002-6934-1685"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guihai Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":0.5952,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63441426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"34","issue":"3","first_page":"1390","last_page":"1403"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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":0.9955999851226807,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.8147598505020142},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6604081392288208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5647146701812744},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5573477149009705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5378922820091248},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5363465547561646},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.53493732213974},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4407731890678406},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43677031993865967},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14339447021484375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8147598505020142},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6604081392288208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5647146701812744},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5573477149009705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5378922820091248},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5363465547561646},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.53493732213974},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4407731890678406},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43677031993865967},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14339447021484375},{"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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2020.2994946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2994946","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3278686258","display_name":null,"funder_award_id":"2018YFB1004700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5010798040","display_name":null,"funder_award_id":"61872238","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6315978837","display_name":"\u5927\u6570\u636e\u4ea4\u6613\u5b9a\u4ef7\u4e0e\u4fdd\u62a4\u673a\u5236\u7684\u7814\u7a76","funder_award_id":"61972254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W184915860","https://openalex.org/W561663239","https://openalex.org/W744267399","https://openalex.org/W863049760","https://openalex.org/W1497572584","https://openalex.org/W1499517307","https://openalex.org/W1507350865","https://openalex.org/W1591688405","https://openalex.org/W1756737390","https://openalex.org/W1814023381","https://openalex.org/W1854214752","https://openalex.org/W1967579779","https://openalex.org/W1992537918","https://openalex.org/W2004214228","https://openalex.org/W2006407062","https://openalex.org/W2020360881","https://openalex.org/W2022063488","https://openalex.org/W2026318959","https://openalex.org/W2114544578","https://openalex.org/W2127048411","https://openalex.org/W2127267264","https://openalex.org/W2146341589","https://openalex.org/W2152430833","https://openalex.org/W2159009490","https://openalex.org/W2168400688","https://openalex.org/W2171410332","https://openalex.org/W2172238468","https://openalex.org/W2232945224","https://openalex.org/W2265862919","https://openalex.org/W2308925639","https://openalex.org/W2317176672","https://openalex.org/W2328789080","https://openalex.org/W2519198042","https://openalex.org/W2545649789","https://openalex.org/W2551441958","https://openalex.org/W2612037023","https://openalex.org/W2789120929","https://openalex.org/W2799312619","https://openalex.org/W2808933161","https://openalex.org/W2811501504","https://openalex.org/W2892054645","https://openalex.org/W2912066479","https://openalex.org/W2949377321","https://openalex.org/W2963603520","https://openalex.org/W3098742898","https://openalex.org/W3102641634","https://openalex.org/W3122471732","https://openalex.org/W3125952634","https://openalex.org/W4255375128","https://openalex.org/W6681046083","https://openalex.org/W6801407141"],"related_works":["https://openalex.org/W4205958290","https://openalex.org/W4280611221","https://openalex.org/W4316082230","https://openalex.org/W1470425429","https://openalex.org/W3204641204","https://openalex.org/W4306742369","https://openalex.org/W3107602296","https://openalex.org/W2046384965","https://openalex.org/W4308404643","https://openalex.org/W2016517455"],"abstract_inverted_index":{"Predicting":[0],"emerging":[1,48],"hot":[2,54,85],"events":[3,55,58],"in":[4],"an":[5,47],"early":[6,44],"stage":[7,45,74],"is":[8],"essential":[9],"for":[10,108],"various":[11],"applications,":[12],"including":[13],"information":[14],"dissemination":[15],"mining,":[16],"ads":[17],"recommendation":[18],"and":[19,56,101,104,114],"etc.":[20],"Existing":[21],"techniques":[22],"either":[23],"require":[24],"a":[25,70],"long-term":[26],"observation":[27],"over":[28],"the":[29,43,50,84,98,109,123],"event":[30,86],"or":[31],"features":[32,52,100,103],"that":[33,78],"are":[34,59],"expensive":[35],"to":[36],"extract.":[37],"However,":[38],"given":[39],"limited":[40],"data":[41],"at":[42],"of":[46,53,125],"event,":[49],"temporal":[51,99],"non-hot":[57],"not":[60],"distinctive":[61],"enough":[62],"yet.":[63],"In":[64],"this":[65,80],"work,":[66],"we":[67,95],"introduce":[68],"BEEP,":[69],"Bayesian":[71],"perspective":[72],"Early":[73],"Event":[75],"Prediction":[76],"model,":[77],"tackles":[79],"dilemma.":[81],"We":[82],"formulate":[83],"prediction":[87],"problem":[88],"by":[89],"two":[90,119],"Semi-Naive":[91],"Bayes":[92],"Classifiers,":[93],"where":[94],"consider":[96],"both":[97],"structural":[102],"perform":[105],"distribution":[106],"test":[107],"selected":[110],"features.":[111],"Theoretical":[112],"analysis":[113],"extensive":[115],"empirical":[116],"evaluations":[117],"on":[118],"real":[120],"datasets":[121],"demonstrate":[122],"effectiveness":[124],"our":[126],"methods.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}