{"id":"https://openalex.org/W4399363581","doi":"https://doi.org/10.1109/tnnls.2024.3405991","title":"Cross-Domain Social Rumor-Propagation Model Based on Transfer Learning","display_name":"Cross-Domain Social Rumor-Propagation Model Based on Transfer Learning","publication_year":2024,"publication_date":"2024-06-04","ids":{"openalex":"https://openalex.org/W4399363581","doi":"https://doi.org/10.1109/tnnls.2024.3405991","pmid":"https://pubmed.ncbi.nlm.nih.gov/38833394"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3405991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3405991","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5076892263","display_name":"Yunpeng Xiao","orcid":"https://orcid.org/0000-0002-2846-3571"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunpeng Xiao","raw_affiliation_strings":["School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101847042","display_name":"Jinsong Yang","orcid":"https://orcid.org/0000-0003-4905-8468"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Yang","raw_affiliation_strings":["School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009451746","display_name":"Wanjing Zhao","orcid":"https://orcid.org/0009-0007-5009-9394"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanjing Zhao","raw_affiliation_strings":["School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089825406","display_name":"Qian Li","orcid":"https://orcid.org/0000-0003-3905-8173"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Li","raw_affiliation_strings":["School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076044143","display_name":"Yucai Pang","orcid":"https://orcid.org/0000-0002-9072-4605"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucai Pang","raw_affiliation_strings":["School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076892263"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":14.8613,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.98860662,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"36","issue":"4","first_page":"6529","last_page":"6543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9778000116348267,"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":0.9534000158309937,"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/rumor","display_name":"Rumor","score":0.9705287218093872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7375162839889526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5463873744010925},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5173408389091492},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4928176701068878},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4649312198162079},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4538307785987854},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.41525590419769287},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41097649931907654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3912730813026428},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3904297947883606},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2777210474014282},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10935613512992859}],"concepts":[{"id":"https://openalex.org/C2780469804","wikidata":"https://www.wikidata.org/wiki/Q878352","display_name":"Rumor","level":2,"score":0.9705287218093872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7375162839889526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5463873744010925},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5173408389091492},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4928176701068878},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4649312198162079},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4538307785987854},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.41525590419769287},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41097649931907654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3912730813026428},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3904297947883606},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2777210474014282},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10935613512992859},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3405991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3405991","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38833394","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38833394","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3496534629","display_name":null,"funder_award_id":"CSTB2022NSCQ-MSX0329","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G8569280878","display_name":null,"funder_award_id":"62072066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8963151118","display_name":null,"funder_award_id":"62006032","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/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2281420995","https://openalex.org/W2913519933","https://openalex.org/W2922366070","https://openalex.org/W2955477338","https://openalex.org/W2990531287","https://openalex.org/W2993565055","https://openalex.org/W3002392201","https://openalex.org/W3024507639","https://openalex.org/W3034604293","https://openalex.org/W3084289464","https://openalex.org/W3093893860","https://openalex.org/W3095845083","https://openalex.org/W3106278827","https://openalex.org/W3110930594","https://openalex.org/W3111533018","https://openalex.org/W3121385255","https://openalex.org/W3123539558","https://openalex.org/W3123875030","https://openalex.org/W3129702347","https://openalex.org/W3142258528","https://openalex.org/W3192495087","https://openalex.org/W3211008224","https://openalex.org/W3212224018","https://openalex.org/W3212331806","https://openalex.org/W3216694774","https://openalex.org/W4205730987","https://openalex.org/W4225767175","https://openalex.org/W4281653831","https://openalex.org/W4285296141","https://openalex.org/W4286579120","https://openalex.org/W4293812169","https://openalex.org/W4308033659","https://openalex.org/W4309342899","https://openalex.org/W4323644191","https://openalex.org/W4379930258","https://openalex.org/W6714003741","https://openalex.org/W6736586964"],"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/W2801267666","https://openalex.org/W2188429085","https://openalex.org/W2886888575","https://openalex.org/W3140274682"],"abstract_inverted_index":{"Rumors":[0],"in":[1,18,83,116,177,206],"different":[2,6,178,181],"topic":[3,170,176],"domains":[4,179],"have":[5],"text":[7,118],"characteristics":[8],"but":[9],"similar":[10,186],"emotional":[11,92,122,187],"tendencies.":[12],"To":[13,86],"resolve":[14],"the":[15,37,42,55,70,88,105,114,117,121,133,154,161,168,174,193,198],"scarce-data":[16],"problem":[17],"some":[19],"rumor-topic":[20,81,145,159],"domains,":[21],"this":[22,45],"study":[23,46],"proposes":[24],"a":[25,48,100,127,158,202,208],"cross-domain":[26],"rumor-propagation":[27,43,128],"model,":[28],"which":[29,53,112],"is":[30,139,165,218],"based":[31,103,131,212],"on":[32,104,132,143,213],"transfer":[33],"learning.":[34],"First,":[35],"given":[36],"diversity":[38],"and":[39,75,80,119,141,183,189,200,215],"complexity":[40],"of":[41,57,90,109],"landscape,":[44],"introduces":[47],"novel":[49],"method,":[50],"User-Retweet-Rumor2vec":[51],"(URR2vec),":[52],"leverages":[54],"power":[56],"representation":[58],"learning":[59],"to":[60,147,167],"uncover":[61],"latent":[62],"features":[63],"within":[64],"rumor":[65,95,110,169,175,194],"topics.":[66,195],"It":[67],"also":[68,98],"displays":[69],"forwarding":[71],"relationship":[72],"between":[73],"users":[74],"rumors,":[76],"user":[77],"node":[78],"information,":[79],"information":[82],"low-dimensional":[84],"space.":[85],"capture":[87],"impact":[89],"human":[91],"cognition":[93],"during":[94],"spreading,":[96],"we":[97],"introduce":[99],"deep-learning":[101],"model":[102,130,164,211],"natural":[106],"language":[107],"texts":[108],"topics,":[111],"analyzes":[113],"sentiment":[115],"uncovers":[120],"correlations":[123],"among":[124,192],"users.":[125],"Furthermore,":[126],"prediction":[129,150],"text-sentiment":[134],"analysis-graph":[135],"convolutional":[136],"network":[137,190],"(TSA-GCN)":[138],"proposed":[140],"pre-trained":[142],"existing":[144],"data":[146,155],"ensure":[148],"its":[149],"accuracy.":[151],"Finally,":[152],"considering":[153],"sparsity":[156],"at":[157],"outbreak,":[160],"trained":[162],"propagation":[163],"transferred":[166],"for":[171],"prediction.":[172],"Meanwhile,":[173],"has":[180],"edges":[182],"conditional":[184],"distribution,":[185],"characteristics,":[188],"structure":[191],"After":[196],"fine-tuning":[197],"parameter":[199,214],"adding":[201],"domain":[203,209],"adaptation":[204,210],"layer":[205],"TSA-GCN,":[207],"graph-structure":[216],"migration":[217],"obtained.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
