{"id":"https://openalex.org/W4285294795","doi":"https://doi.org/10.1109/tcss.2022.3182337","title":"Enhance Rumor Controlling Algorithms Based on Boosting and Blocking Users in Social Networks","display_name":"Enhance Rumor Controlling Algorithms Based on Boosting and Blocking Users in Social Networks","publication_year":2022,"publication_date":"2022-06-20","ids":{"openalex":"https://openalex.org/W4285294795","doi":"https://doi.org/10.1109/tcss.2022.3182337"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2022.3182337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2022.3182337","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","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/A5041806208","display_name":"Xiaopeng Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Yao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6794-0441","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068916033","display_name":"Ningtuo Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningtuo Gao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103228633","display_name":"Chonglin Gu","orcid":"https://orcid.org/0000-0002-9656-6265"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chonglin Gu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9656-6265","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006819425","display_name":"Hejiao Huang","orcid":"https://orcid.org/0000-0002-2030-957X"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hejiao Huang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2030-957X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7322,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68412334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"10","issue":"5","first_page":"2698","last_page":"2712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.998199999332428,"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":0.9977999925613403,"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/rumor","display_name":"Rumor","score":0.9671064615249634},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.9262053966522217},{"id":"https://openalex.org/keywords/blocking","display_name":"Blocking (statistics)","score":0.6928735375404358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5690450072288513},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5161760449409485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46788519620895386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4608795940876007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4218076467514038},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33168500661849976},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.23319029808044434},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19046419858932495},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.10499736666679382}],"concepts":[{"id":"https://openalex.org/C2780469804","wikidata":"https://www.wikidata.org/wiki/Q878352","display_name":"Rumor","level":2,"score":0.9671064615249634},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.9262053966522217},{"id":"https://openalex.org/C144745244","wikidata":"https://www.wikidata.org/wiki/Q4927286","display_name":"Blocking (statistics)","level":2,"score":0.6928735375404358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5690450072288513},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5161760449409485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46788519620895386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4608795940876007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4218076467514038},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33168500661849976},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.23319029808044434},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19046419858932495},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.10499736666679382},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2022.3182337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2022.3182337","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5095436945","display_name":null,"funder_award_id":"JCYJ20210324132406016","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G6306994556","display_name":null,"funder_award_id":"61732022","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/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W808055529","https://openalex.org/W828504312","https://openalex.org/W1984069252","https://openalex.org/W1984921594","https://openalex.org/W1999101712","https://openalex.org/W2035165116","https://openalex.org/W2046651078","https://openalex.org/W2096423888","https://openalex.org/W2108858998","https://openalex.org/W2114823287","https://openalex.org/W2115826669","https://openalex.org/W2132801025","https://openalex.org/W2135086682","https://openalex.org/W2139297408","https://openalex.org/W2149130429","https://openalex.org/W2160411082","https://openalex.org/W2161953836","https://openalex.org/W2166711859","https://openalex.org/W2395439732","https://openalex.org/W2396832258","https://openalex.org/W2472664708","https://openalex.org/W2523912761","https://openalex.org/W2543722153","https://openalex.org/W2735984347","https://openalex.org/W2775405813","https://openalex.org/W2791518874","https://openalex.org/W2798654119","https://openalex.org/W2884645872","https://openalex.org/W2922366070","https://openalex.org/W2962791126","https://openalex.org/W2974251343","https://openalex.org/W3022767249","https://openalex.org/W3033885113","https://openalex.org/W3128085024","https://openalex.org/W3138115288","https://openalex.org/W4232212779","https://openalex.org/W4249091171","https://openalex.org/W6623350049","https://openalex.org/W6646381937"],"related_works":["https://openalex.org/W1992461926","https://openalex.org/W4285294795","https://openalex.org/W4391042838","https://openalex.org/W2967733078","https://openalex.org/W2963951227","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730"],"abstract_inverted_index":{"It":[0],"is":[1,21,64],"undeniable":[2],"that":[3,146,215],"rumors":[4,11,20,95],"abound":[5],"on":[6,87,182],"online":[7],"social":[8,26],"networks":[9],"and":[10,99,120,196,230],"can":[12,155,172],"cause":[13],"many":[14],"disastrous":[15],"consequences.":[16],"Effective":[17],"controlling":[18,69,127,212],"of":[19,22,52,149,236],"great":[23],"significance":[24],"in":[25],"networks.":[27],"However,":[28],"the":[29,42,50,59,62,72,75,79,97,116,124,147,153,183,207,234],"existing":[30],"research":[31],"only":[32],"selects":[33],"boosting":[34,125,168,202,210],"users":[35,47,92,144,150],"who":[36],"are":[37,101],"more":[38],"likely":[39],"to":[40,48,57,89,93,131,160,205,220],"adopt":[41],"truth":[43,80,100,121,154],"or":[44],"select":[45,90],"blocking":[46],"terminate":[49],"spread":[51,63],"rumors.":[53],"The":[54],"former":[55],"tends":[56],"correct":[58],"rumor":[60,76,98,117,126,211],"after":[61],"over":[65,239],"but":[66],"with":[67,137,176],"high":[68],"cost,":[70],"while":[71],"latter":[73],"blocks":[74],"without":[77],"considering":[78],"transmission.":[81],"In":[82,158],"this":[83,113,224],"article,":[84],"we":[85,163,186],"focus":[86],"how":[88],"boosting\u2013blocking":[91,134],"control":[94],"when":[96],"spreading":[102],"together.":[103],"We":[104],"propose":[105,188],"a":[106,133,165,177,189,198,217],"boosting-truth":[107,191],"blocking-rumor":[108,192],"cascade":[109,193],"(BTBRC)":[110],"model.":[111,225],"Under":[112],"model,":[114,185],"given":[115],"seed":[118,122,135,218],"set":[119,136,219],"set,":[123],"(BRC)":[128],"problem":[129,214],"aims":[130],"find":[132],"<inline-formula":[138],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[139],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[140],"<tex-math":[141],"notation=\"LaTeX\">$k$":[142],"</tex-math></inline-formula>":[143],"such":[145],"number":[148],"influenced":[151],"by":[152],"be":[156,221],"maximized.":[157],"order":[159],"solve":[161,206],"it,":[162],"design":[164,197],"multihop":[166,200],"neighbor":[167,201],"(MHNB)":[169],"algorithm,":[170],"which":[171],"get":[173],"effective":[174],"results":[175,232],"data-parameter-dependent":[178],"approximation":[179],"ratio.":[180],"Based":[181],"above":[184],"also":[187],"positive":[190,209],"(PBTBRC)":[194],"model":[195],"connected":[199,208,222],"(CMHNB)":[203],"algorithm":[204],"(CPBRC)":[213],"requires":[216],"under":[223],"Finally,":[226],"extensive":[227],"theoretical":[228],"analysis":[229],"experimental":[231],"show":[233],"superiority":[235],"our":[237],"algorithms":[238],"other":[240],"comparison":[241],"methods.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}