{"id":"https://openalex.org/W2809842798","doi":"https://doi.org/10.1109/fskd.2017.8393110","title":"A novel rumor detection method based on labeled cascade propagation tree","display_name":"A novel rumor detection method based on labeled cascade propagation tree","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2809842798","doi":"https://doi.org/10.1109/fskd.2017.8393110","mag":"2809842798"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5029118616","display_name":"Guoyong Cai","orcid":"https://orcid.org/0000-0002-5705-1189"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoyong Cai","raw_affiliation_strings":["Guangxi Key Lab of Trusted Software, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Lab of Trusted Software, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022275162","display_name":"Mengying Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengying Bi","raw_affiliation_strings":["Guangxi Key Lab of Trusted Software, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Lab of Trusted Software, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102307276","display_name":"Jianxing Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxing Liu","raw_affiliation_strings":["Guangxi Key Lab of Trusted Software, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Lab of Trusted Software, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029118616"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":2.1388,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91610459,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"26","issue":null,"first_page":"2185","last_page":"2194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9937000274658203,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9934999942779541,"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":0.9138285517692566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.731038510799408},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.6388011574745178},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5913160443305969},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5636106729507446},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5591828227043152},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.5471592545509338},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5104255080223083},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5099982023239136},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43668797612190247},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4314964711666107},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38651400804519653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36203038692474365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3489070534706116},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18123021721839905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1470222771167755}],"concepts":[{"id":"https://openalex.org/C2780469804","wikidata":"https://www.wikidata.org/wiki/Q878352","display_name":"Rumor","level":2,"score":0.9138285517692566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.731038510799408},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.6388011574745178},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5913160443305969},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5636106729507446},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5591828227043152},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.5471592545509338},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5104255080223083},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5099982023239136},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43668797612190247},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4314964711666107},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38651400804519653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36203038692474365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3489070534706116},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18123021721839905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1470222771167755},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323266","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1546111015","https://openalex.org/W1638051351","https://openalex.org/W1814023381","https://openalex.org/W1816257748","https://openalex.org/W1967613408","https://openalex.org/W1975594555","https://openalex.org/W2032897813","https://openalex.org/W2050619059","https://openalex.org/W2051405935","https://openalex.org/W2084591134","https://openalex.org/W2101196063","https://openalex.org/W2117192789","https://openalex.org/W2126948581","https://openalex.org/W2142869398","https://openalex.org/W2159981908","https://openalex.org/W2164082612","https://openalex.org/W2167024389","https://openalex.org/W2293476329","https://openalex.org/W2293652414","https://openalex.org/W2510804350","https://openalex.org/W2763145286","https://openalex.org/W3123122501","https://openalex.org/W4251751348","https://openalex.org/W6638399519","https://openalex.org/W6677428762","https://openalex.org/W6678682705","https://openalex.org/W6696715293"],"related_works":["https://openalex.org/W2372853429","https://openalex.org/W2793319716","https://openalex.org/W3110636174","https://openalex.org/W4210503589","https://openalex.org/W2908713064","https://openalex.org/W2810386322","https://openalex.org/W2014794499","https://openalex.org/W2353483694","https://openalex.org/W2001642679","https://openalex.org/W2807186976"],"abstract_inverted_index":{"Nowadays":[0],"Sina":[1,149],"Weibo":[2,150],"has":[3],"become":[4],"a":[5,20,113,120,124,166,175],"fashionable":[6],"social":[7],"media":[8],"platform":[9],"in":[10],"China.":[11],"Meanwhile,":[12],"the":[13,62,100,152],"public":[14],"and":[15,25,56,84,131,171],"anonymous":[16],"environment":[17],"provides":[18],"rumors":[19,33],"perfect":[21],"hotbed":[22],"to":[23,98],"breed":[24],"spread.":[26],"The":[27],"negative":[28],"influence":[29,110],"on":[30,42,46,138,145],"society":[31],"from":[32,52,148],"cannot":[34],"be":[35],"ignored.":[36],"Traditional":[37],"rumor":[38,125],"detection":[39],"methods":[40],"based":[41,137],"features":[43,50,130],"always":[44],"focus":[45],"static":[47],"or":[48],"flat":[49],"coming":[51],"content,":[53],"users,":[54],"propagation":[55,66,76,104,169],"etc.":[57],"but":[58],"it":[59],"often":[60],"ignores":[61],"effect":[63,101],"of":[64,102,154],"information's":[65,75,103],"structure.":[67,105],"Aiming":[68],"at":[69],"this":[70],"problem,":[71],"first":[72],"we":[73,107,117],"introduce":[74],"cascade":[77],"model":[78,88],"into":[79],"LPT":[80],"(Labeled":[81],"Propagation":[82,92],"Tree)":[83],"propose":[85],"an":[86],"improved":[87],"-":[89],"Labeled":[90],"Cascade":[91],"Tree":[93],"(CA-LPT)":[94],"which":[95],"allows":[96],"us":[97],"consider":[99],"Second,":[106],"investigate":[108],"users'":[109],"assessment":[111],"by":[112,126],"dynamic":[114],"method.":[115],"Finally,":[116],"predict":[118],"whether":[119],"microblog":[121],"post":[122],"is":[123],"proposing":[127],"10":[128],"new":[129,157],"combine":[132],"with":[133],"hybrid":[134],"kernel":[135],"SVM":[136],"random":[139],"walk":[140],"graph":[141],"kernel.":[142],"Experiment":[143],"results":[144],"real-world":[146],"data":[147],"demonstrate":[151],"efficacy":[153],"CA-LPT":[155,162],"related":[156],"features.":[158],"We":[159],"conclude":[160],"that":[161],"can":[163],"help":[164],"building":[165],"more":[167],"exact":[168],"tree":[170],"provide":[172],"clues":[173],"for":[174],"better":[176],"classification":[177],"accuracy.":[178]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}