{"id":"https://openalex.org/W4408708406","doi":"https://doi.org/10.1109/tcss.2025.3545956","title":"Information Diffusion Prediction With Augmented Diffusion Dependency and Multigranularity Temporal Influence","display_name":"Information Diffusion Prediction With Augmented Diffusion Dependency and Multigranularity Temporal Influence","publication_year":2025,"publication_date":"2025-03-21","ids":{"openalex":"https://openalex.org/W4408708406","doi":"https://doi.org/10.1109/tcss.2025.3545956"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2025.3545956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3545956","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/A5000261528","display_name":"Ze\u2010Kun Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zekun Tao","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0002-5477-0222","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102003608","display_name":"Changjian Wang","orcid":"https://orcid.org/0000-0002-1160-0365"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjian Wang","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-1160-0365","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013340793","display_name":"Kele Xu","orcid":"https://orcid.org/0000-0001-5997-5169"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kele Xu","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-5997-5169","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037318331","display_name":"Tao Sun","orcid":"https://orcid.org/0000-0001-5024-1900"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Sun","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-5024-1900","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101514552","display_name":"Yong Guo","orcid":"https://orcid.org/0000-0001-5903-5302"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Guo","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-5903-5302","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032971738","display_name":"Kun Qian","orcid":"https://orcid.org/0000-0002-1918-6453"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Qian","raw_affiliation_strings":["School of Medical Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1918-6453","affiliations":[{"raw_affiliation_string":"School of Medical Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yanru Bai","orcid":"https://orcid.org/0000-0003-3959-7898"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanru Bai","raw_affiliation_strings":["Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-3959-7898","affiliations":[{"raw_affiliation_string":"Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I5740404","https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100656932","display_name":"Shanshan Li","orcid":"https://orcid.org/0000-0003-0798-974X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Li","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0003-0798-974X","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5000261528"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":2.0951,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87322882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"12","issue":"5","first_page":"3501","last_page":"3512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8575000166893005,"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":0.8575000166893005,"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":0.7303638458251953},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6754937171936035},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.47642406821250916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45316874980926514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3093814253807068},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.16181179881095886},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14631390571594238}],"concepts":[{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.7303638458251953},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6754937171936035},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.47642406821250916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45316874980926514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3093814253807068},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.16181179881095886},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14631390571594238}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2025.3545956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3545956","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1856548066","https://openalex.org/W1973956316","https://openalex.org/W1996218898","https://openalex.org/W2041157860","https://openalex.org/W2061820396","https://openalex.org/W2064675550","https://openalex.org/W2065996638","https://openalex.org/W2073926352","https://openalex.org/W2078939860","https://openalex.org/W2095016473","https://openalex.org/W2116341502","https://openalex.org/W2130354913","https://openalex.org/W2131774270","https://openalex.org/W2149084727","https://openalex.org/W2170513563","https://openalex.org/W2296752489","https://openalex.org/W2551441958","https://openalex.org/W2569283211","https://openalex.org/W2604996434","https://openalex.org/W2740189214","https://openalex.org/W2788792565","https://openalex.org/W2795034086","https://openalex.org/W2892880750","https://openalex.org/W2897605361","https://openalex.org/W2907927214","https://openalex.org/W2963146368","https://openalex.org/W2963493749","https://openalex.org/W2971779724","https://openalex.org/W3001111845","https://openalex.org/W3002293096","https://openalex.org/W3024044403","https://openalex.org/W3085990079","https://openalex.org/W3133932448","https://openalex.org/W3196754906","https://openalex.org/W4283807147","https://openalex.org/W4297095252","https://openalex.org/W4385326727","https://openalex.org/W4387848791","https://openalex.org/W4388544049","https://openalex.org/W4388953041"],"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":[1,32,58,76,85,97,115,128,209,234],"prediction":[2,63,210],"plays":[3],"a":[4,30,71,107],"pivotal":[5],"role":[6],"in":[7,55,95,177,231,235],"the":[8,91,114,145,195,225],"analysis":[9],"of":[10,147,198,229],"information":[11,36,84,100,233],"propagation":[12],"across":[13,180],"social":[14,22,27,104,236],"networks.":[15,237],"Many":[16],"existing":[17],"methods":[18],"rely":[19],"on":[20,190],"learning":[21],"homophily":[23,105],"solely":[24],"from":[25,45,187],"users\u2019":[26,178],"connections":[28],"as":[29,212,218],"single":[31],"dependency":[33,77,116],"to":[34,112,126,157,169],"drive":[35],"diffusion.":[37],"Moreover,":[38],"these":[39,67],"approaches":[40],"often":[41],"capture":[42,158],"temporal":[43,80,153,160],"influence":[44,81,161],"cascades":[46],"within":[47,162],"discrete":[48],"time":[49,181],"intervals,":[50],"which":[51],"might":[52],"be":[53],"inadequate":[54],"describing":[56],"complex":[57],"processes":[59],"and":[60,78,138,152,174,220,227],"can":[61],"limit":[62],"performance.":[64],"To":[65],"overcome":[66],"limitations,":[68],"we":[69,120,143],"propose":[70],"novel":[72],"approach":[73],"with":[74,103],"augmented":[75],"multigranularity":[79,159],"(ADDMT)":[82],"for":[83],"prediction.":[86],"Our":[87],"method":[88],"strategically":[89],"leverages":[90],"interactive":[92],"regularity":[93],"implicit":[94],"historical":[96],"cascades.":[98,129,163],"This":[99,164],"is":[101],"integrated":[102],"through":[106],"cross-graph":[108],"convolution":[109,149,154],"network":[110],"(GCN)":[111],"augment":[113],"among":[117],"users.":[118],"Furthermore,":[119],"introduce":[121],"multiple":[122],"overlapping":[123],"sliding":[124],"windows":[125],"partition":[127],"Adjacent":[130],"cascade":[131],"slices":[132],"exhibit":[133],"50%":[134],"overlap,":[135],"enhancing":[136],"semantic":[137],"structural":[139],"coherence.":[140],"In":[141,202],"addition,":[142],"employ":[144],"combination":[146],"hypergraph":[148],"networks":[150,155],"(HGCNs)":[151],"(TCNs)":[156],"design":[165],"enables":[166],"our":[167,199,204],"model":[168,205],"further":[170],"discern":[171],"evolutionary":[172],"trends":[173],"ephemeral":[175],"fluctuations":[176],"preferences":[179],"intervals.":[182],"The":[183],"experimental":[184],"results,":[185],"obtained":[186],"comprehensive":[188],"evaluations":[189],"four":[191],"realistic":[192],"datasets,":[193],"demonstrate":[194],"superior":[196],"performance":[197],"proposed":[200],"model.":[201],"particular,":[203],"surpasses":[206],"previous":[207],"state-of-the-art":[208],"models,":[211],"evidenced":[213],"by":[214],"improved":[215],"metrics":[216],"such":[217],"Hits@K":[219],"MAP@K.":[221],"These":[222],"results":[223],"underscore":[224],"effectiveness":[226],"robustness":[228],"ADDMT":[230],"predicting":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
