{"id":"https://openalex.org/W4413157584","doi":"https://doi.org/10.1109/tbdata.2025.3598713","title":"DucDiff: Dual-Consistent Diffusion for Uncertainty-Aware Information Diffusion Prediction","display_name":"DucDiff: Dual-Consistent Diffusion for Uncertainty-Aware Information Diffusion Prediction","publication_year":2025,"publication_date":"2025-08-13","ids":{"openalex":"https://openalex.org/W4413157584","doi":"https://doi.org/10.1109/tbdata.2025.3598713"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2025.3598713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2025.3598713","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"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 Big Data","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/A5034789908","display_name":"Ting Zhong","orcid":"https://orcid.org/0000-0002-8163-3146"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ting Zhong","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8163-3146","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045616714","display_name":"Wenxue Ye","orcid":"https://orcid.org/0000-0001-9917-2176"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxue Ye","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045678174","display_name":"Shichong Li","orcid":"https://orcid.org/0000-0003-2024-4814"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichong Li","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Liu","orcid":"https://orcid.org/0009-0009-1731-1220"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0009-1731-1220","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079708113","display_name":"Zhangtao Cheng","orcid":"https://orcid.org/0000-0002-0097-3617"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangtao Cheng","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0097-3617","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403505","display_name":"Fan Zhou","orcid":"https://orcid.org/0000-0002-8038-8150"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhou","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8038-8150","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xueqin Chen","orcid":"https://orcid.org/0000-0003-1538-3713"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqin Chen","raw_affiliation_strings":["Sichuan University, Chengdu, China","Kash Institute of Electronics and Information Industry, Kashgar, China"],"raw_orcid":"https://orcid.org/0000-0003-1538-3713","affiliations":[{"raw_affiliation_string":"Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Kash Institute of Electronics and Information Industry, Kashgar, China","institution_ids":["https://openalex.org/I4210110458"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5034789908"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09924501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"6","first_page":"3513","last_page":"3526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.7562000155448914,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.7562000155448914,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.7059999704360962,"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/diffusion","display_name":"Diffusion","score":0.7355217933654785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7310124635696411},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.604341447353363},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3383941054344177},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.32705575227737427},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0925615131855011}],"concepts":[{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.7355217933654785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7310124635696411},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.604341447353363},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3383941054344177},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.32705575227737427},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0925615131855011},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2025.3598713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2025.3598713","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3976612152","display_name":null,"funder_award_id":"62176043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G680623718","display_name":null,"funder_award_id":"U22A2097","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1996263819","https://openalex.org/W2041157860","https://openalex.org/W2061820396","https://openalex.org/W2065996638","https://openalex.org/W2078939860","https://openalex.org/W2127492100","https://openalex.org/W2170513563","https://openalex.org/W2551441958","https://openalex.org/W2594655433","https://openalex.org/W2604996434","https://openalex.org/W2897605361","https://openalex.org/W2907927214","https://openalex.org/W2914721378","https://openalex.org/W2963493749","https://openalex.org/W2971779724","https://openalex.org/W3002293096","https://openalex.org/W3012907770","https://openalex.org/W3028571922","https://openalex.org/W3088444111","https://openalex.org/W3096831136","https://openalex.org/W3114652457","https://openalex.org/W3133932448","https://openalex.org/W3173203577","https://openalex.org/W3196754906","https://openalex.org/W3212331806","https://openalex.org/W3216759837","https://openalex.org/W3217536461","https://openalex.org/W4226244072","https://openalex.org/W4283650047","https://openalex.org/W4283807147","https://openalex.org/W4293812169","https://openalex.org/W4295854766","https://openalex.org/W4306317296","https://openalex.org/W4384644330","https://openalex.org/W4385245566","https://openalex.org/W4385569744","https://openalex.org/W4387195417","https://openalex.org/W4387848791","https://openalex.org/W4390187153","https://openalex.org/W4390412407","https://openalex.org/W4393156497","https://openalex.org/W4400351440","https://openalex.org/W4402435458","https://openalex.org/W4402508445","https://openalex.org/W4402569004","https://openalex.org/W4402626859","https://openalex.org/W4403780649","https://openalex.org/W4408021493","https://openalex.org/W4410226412","https://openalex.org/W4410989911"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Information":[0],"diffusion":[1,56,67,77,87],"prediction":[2],"is":[3,132],"a":[4,8,41,64,95,100,128],"vital":[5],"component":[6],"for":[7,69,75,134],"wide":[9],"range":[10],"of":[11,40,85,111,137],"social":[12],"applications,":[13],"including":[14],"viral":[15],"marketing":[16],"identification":[17],"and":[18,54,117,142,152],"personal":[19],"recommendation.":[20],"Prior":[21],"methods":[22],"primarily":[23],"focus":[24],"on":[25,170],"learning":[26],"target":[27,71,91,112],"user":[28,38,72,92,113,119],"representation":[29,73,114],"by":[30],"modeling":[31],"contextual":[32],"information":[33,76,130,158],"from":[34,94,115],"the":[35,45,81,86,106,135,140,147,164],"historical":[36,51,116,141],"retweet":[37],"sequence":[39],"single":[42],"cascade,":[43],"overlooking":[44],"uncertainties":[46],"that":[47,156,174],"exist":[48],"in":[49],"both":[50],"propagation":[52],"trajectory":[53],"future":[55,118,143,157],"trends.":[57],"In":[58],"this":[59],"work,":[60],"we":[61],"propose":[62],"DucDiff,":[63],"novel":[65],"dual-consistent":[66],"model":[68,88],"enhancing":[70],"used":[74],"prediction.":[78],"DucDiff":[79,175],"harnesses":[80],"distribution":[82],"generation":[83],"capability":[84],"to":[89],"generate":[90],"representations":[93],"distributional":[96],"perspective":[97],"rather":[98],"than":[99],"fixed":[101],"vector.":[102],"Specifically,":[103],"it":[104],"captures":[105],"multi-latent":[107],"aspects":[108],"(i.e.,":[109],"uncertainties)":[110],"sequences,":[120],"respectively,":[121],"using":[122],"disentangled":[123],"dual":[124],"denoising":[125,144],"modules.":[126],"Additionally,":[127],"shared":[129],"bottleneck":[131],"designed":[133],"cross-distillation":[136],"knowledge":[138],"between":[139,150],"modules,":[145],"eliminating":[146],"performance":[148],"gap":[149],"training":[151],"inference,":[153],"while":[154],"ensuring":[155],"can":[159],"be":[160],"implicitly":[161],"introduced":[162],"during":[163],"inference":[165],"phase.":[166],"Extensive":[167],"experiments":[168],"conducted":[169],"five":[171],"datasets":[172],"demonstrate":[173],"significantly":[176],"outperforms":[177],"state-of-the-art":[178],"baselines.":[179]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}