{"id":"https://openalex.org/W3048460901","doi":"https://doi.org/10.1109/access.2020.3015397","title":"Predicting User Retweeting Behavior in Social Networks With a Novel Ensemble Learning Approach","display_name":"Predicting User Retweeting Behavior in Social Networks With a Novel Ensemble Learning Approach","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3048460901","doi":"https://doi.org/10.1109/access.2020.3015397","mag":"3048460901"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3015397","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3015397","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09163103.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09163103.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Long Chen","orcid":"https://orcid.org/0000-0002-1309-8217"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Long Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1309-8217","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056693481","display_name":"Huifang Deng","orcid":"https://orcid.org/0000-0001-6394-4496"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifang Deng","raw_affiliation_strings":["Department of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6394-4496","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3334,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80288224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"148250","last_page":"148263"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8029145002365112},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.530174970626831},{"id":"https://openalex.org/keywords/communication-source","display_name":"Communication source","score":0.5263306498527527},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5093628168106079},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5040377974510193},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4968288242816925},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4301525056362152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4243682026863098},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4129437208175659},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22486573457717896},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18081381916999817},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08620816469192505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029145002365112},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.530174970626831},{"id":"https://openalex.org/C198104137","wikidata":"https://www.wikidata.org/wiki/Q974688","display_name":"Communication source","level":2,"score":0.5263306498527527},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5093628168106079},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5040377974510193},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4968288242816925},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4301525056362152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4243682026863098},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4129437208175659},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22486573457717896},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18081381916999817},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08620816469192505},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3015397","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3015397","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09163103.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e96c60e193e04d25aa3a7526fcf3f653","is_oa":true,"landing_page_url":"https://doaj.org/article/e96c60e193e04d25aa3a7526fcf3f653","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 148250-148263 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3015397","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3015397","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09163103.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3048460901.pdf","grobid_xml":"https://content.openalex.org/works/W3048460901.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1025179915","https://openalex.org/W1495750374","https://openalex.org/W1522301498","https://openalex.org/W1534477342","https://openalex.org/W1595257688","https://openalex.org/W1880262756","https://openalex.org/W1943015726","https://openalex.org/W1970381667","https://openalex.org/W1978394996","https://openalex.org/W1988790447","https://openalex.org/W1996263819","https://openalex.org/W2021515354","https://openalex.org/W2024046085","https://openalex.org/W2027135291","https://openalex.org/W2040811557","https://openalex.org/W2040924390","https://openalex.org/W2041157860","https://openalex.org/W2047729491","https://openalex.org/W2055430614","https://openalex.org/W2059004071","https://openalex.org/W2061820396","https://openalex.org/W2066636486","https://openalex.org/W2099154455","https://openalex.org/W2107141100","https://openalex.org/W2127267264","https://openalex.org/W2136517229","https://openalex.org/W2145073242","https://openalex.org/W2145446394","https://openalex.org/W2145554761","https://openalex.org/W2155806188","https://openalex.org/W2161728228","https://openalex.org/W2166458546","https://openalex.org/W2170306891","https://openalex.org/W2178843456","https://openalex.org/W2406281999","https://openalex.org/W2508016355","https://openalex.org/W2554252665","https://openalex.org/W2612318907","https://openalex.org/W2751098541","https://openalex.org/W2751986360","https://openalex.org/W2763592600","https://openalex.org/W2767355271","https://openalex.org/W2797098512","https://openalex.org/W2802142856","https://openalex.org/W2885700852","https://openalex.org/W2963919031","https://openalex.org/W2964121744","https://openalex.org/W2968136831","https://openalex.org/W2999146029","https://openalex.org/W3003287694","https://openalex.org/W3021787434","https://openalex.org/W3098133185","https://openalex.org/W3104987177","https://openalex.org/W3105916718","https://openalex.org/W3125952634","https://openalex.org/W4231510805","https://openalex.org/W6626540732","https://openalex.org/W6631190155","https://openalex.org/W6632075054","https://openalex.org/W6639619044","https://openalex.org/W6640471204","https://openalex.org/W6681651645","https://openalex.org/W6714003741"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2993833576","https://openalex.org/W2776877297","https://openalex.org/W2127920220","https://openalex.org/W3125718803","https://openalex.org/W3119288169","https://openalex.org/W2945097178","https://openalex.org/W4388741024","https://openalex.org/W4320855289","https://openalex.org/W2120116197"],"abstract_inverted_index":{"Information":[0],"sharing":[1],"through":[2,19],"online":[3],"social":[4,33,47,80,93,180,190,227],"networks":[5,48,76],"has":[6],"become":[7],"a":[8,26,85,140,162,184,189],"main":[9],"mechanism":[10],"by":[11,77,91,96],"which":[12,22,82],"people":[13],"share":[14],"information":[15,29,224],"with":[16],"their":[17],"friends":[18],"retweeting":[20,43,61,87,177,217],"behaviors,":[21],"may":[23],"result":[24],"in":[25,45,179,220,226],"variety":[27],"of":[28,102,197,214,223],"diffusion":[30,122,225],"cascades":[31],"on":[32,167,183],"media":[34],"such":[35],"as":[36,133],"Facebook,":[37],"Twitter,":[38],"and":[39,63,99,124,138,153,206],"Weibo.":[40],"Predicting":[41],"user":[42,121,176,216],"behavior":[44,62,178,218],"those":[46],"is":[49,89],"extremely":[50],"challenging.":[51],"To":[52],"complete":[53],"the":[54,92,97,100,103,147,150,154,195,212,221],"prediction":[55,131],"task,":[56],"identifying":[57],"factors":[58,113],"that":[59,202],"affect":[60],"constructing":[64],"efficient":[65],"model":[66,163],"are":[67],"necessary.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72,128,159],"study":[73],"heterogeneous":[74],"relation":[75],"considering":[78],"various":[79,108],"interactions,":[81],"reflect":[83],"how":[84],"particular":[86],"action":[88],"affected":[90],"behaviors":[94],"performed":[95],"sender":[98],"receiver":[101],"retweet.":[104],"We":[105],"then":[106,160],"generate":[107],"features":[109,152,205],"from":[110,188],"our":[111,130,198,203],"identified":[112],"belonging":[114],"to":[115,145,174],"three":[116],"dimensions":[117],"-":[118],"content":[119],"semantics,":[120],"behavior,":[123],"network":[125,191],"structure.":[126],"Moreover,":[127],"cast":[129],"problem":[132,137],"an":[134],"ensemble":[135,142,156],"learning":[136,143,157],"propose":[139,161],"novel":[141,155],"approach":[144,208],"solve":[146],"problem.":[148],"Combing":[149],"generated":[151,204],"approach,":[158],"named":[164],"Retweeting":[165],"Behavior":[166],"Multiple":[168],"Heterogeneous":[169],"Diffusion":[170],"Relation":[171],"Networks":[172],"(RBMHDRN)":[173],"predict":[175],"networks.":[181,228],"Experiments":[182],"real":[185],"dataset":[186],"extracted":[187],"site":[192],"Weibo":[193],"demonstrate":[194],"effectiveness":[196],"proposed":[199,207],"model,":[200],"indicating":[201],"can":[209],"significantly":[210],"improve":[211],"performance":[213],"predicting":[215],"occurring":[219],"process":[222]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}