{"id":"https://openalex.org/W7127200066","doi":"https://doi.org/10.1109/trustcom66490.2025.00055","title":"Multi-Directional Dynamical Framework for Information Propagation Prediction","display_name":"Multi-Directional Dynamical Framework for Information Propagation Prediction","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W7127200066","doi":"https://doi.org/10.1109/trustcom66490.2025.00055"},"language":null,"primary_location":{"id":"doi:10.1109/trustcom66490.2025.00055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/trustcom66490.2025.00055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 24th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5115695040","display_name":"Yuhang Wang","orcid":"https://orcid.org/0000-0003-3057-2926"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Wang","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Science,Beijing,China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111282487","display_name":"Ziang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziang Hu","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Science,Beijing,China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124860125","display_name":"Guangxi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangxi Wang","raw_affiliation_strings":["Academy of Cyber,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Cyber,Beijing,China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117521396","display_name":"Yu Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Shang","raw_affiliation_strings":["Academy of Cyber,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Cyber,Beijing,China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082300353","display_name":"Jizhong Han","orcid":"https://orcid.org/0000-0003-1107-3873"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jizhong Han","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Science,Beijing,China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124860264","display_name":"Tao Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Guo","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Science,Beijing,China","institution_ids":["https://openalex.org/I4210156404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0245,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.96744914,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"433","last_page":"440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.1696999967098236,"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":0.1696999967098236,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.16509999334812164,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.131400004029274,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8851000070571899},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6308000087738037},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.517799973487854},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5069000124931335},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4812000095844269},{"id":"https://openalex.org/keywords/propagation-of-uncertainty","display_name":"Propagation of uncertainty","score":0.45559999346733093},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.4117000102996826},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.36570000648498535}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8851000070571899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6547999978065491},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6308000087738037},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.517799973487854},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5069000124931335},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4812000095844269},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4616999924182892},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.45559999346733093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41670000553131104},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.4117000102996826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4049000144004822},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.36570000648498535},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3375000059604645},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29030001163482666},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/trustcom66490.2025.00055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/trustcom66490.2025.00055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 24th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1495750374","https://openalex.org/W1534477342","https://openalex.org/W1814023381","https://openalex.org/W1878853999","https://openalex.org/W1973956316","https://openalex.org/W1983782104","https://openalex.org/W1994473607","https://openalex.org/W2021314079","https://openalex.org/W2038195874","https://openalex.org/W2041157860","https://openalex.org/W2061820396","https://openalex.org/W2070645266","https://openalex.org/W2084591134","https://openalex.org/W2127492100","https://openalex.org/W2142610630","https://openalex.org/W2164195112","https://openalex.org/W2551441958","https://openalex.org/W2784320650","https://openalex.org/W2790166049","https://openalex.org/W2799829841","https://openalex.org/W2809583854","https://openalex.org/W2907492528","https://openalex.org/W2907927214","https://openalex.org/W2945976633","https://openalex.org/W2949377321","https://openalex.org/W2950778219","https://openalex.org/W3001111845","https://openalex.org/W3011573535","https://openalex.org/W3028571922","https://openalex.org/W4386969498","https://openalex.org/W4406894665"],"related_works":[],"abstract_inverted_index":{"Accurately":[0],"predicting":[1],"information":[2,51],"propagation":[3,119,152],"in":[4,65,70,150,188],"social":[5,13],"networks":[6],"is":[7],"crucial":[8],"for":[9,22,145],"applications":[10],"such":[11],"as":[12,121],"media":[14],"analysis":[15],"and":[16,25,75,78,105,147,161,199,218],"rumor":[17],"monitoring.":[18],"Dynamical":[19,98],"approaches,":[20],"valued":[21],"their":[23],"interpretability":[24],"ability":[26],"to":[27,81,108,132,157,196,206,225,228],"capture":[28],"the":[29,96,118,136,211],"underlying":[30],"mechanisms":[31],"of":[32],"propagation,":[33],"have":[34],"become":[35],"a":[36,122,154],"leading":[37],"research":[38],"direction.":[39],"However,":[40],"most":[41],"existing":[42,186],"methods":[43,187],"focus":[44],"exclusively":[45],"on":[46,172,177],"forward":[47],"prediction,":[48],"overlooking":[49],"valuable":[50],"from":[52,112],"other":[53],"temporal":[54,114],"directions.":[55,115],"Consequently,":[56],"these":[57,92],"approaches":[58],"face":[59],"two":[60],"critical":[61],"limitations:":[62],"(1)":[63],"inadequacy":[64],"handling":[66],"missing":[67,197],"values":[68],"prevalent":[69],"real-world":[71,178],"scenarios":[72],"with":[73],"sparse":[74],"irregular":[76],"observations;":[77],"(2)":[79],"susceptibility":[80],"error":[82],"accumulation":[83],"that":[84,166,181],"significantly":[85],"degrades":[86],"long-term":[87,200,220],"prediction":[88,189,221],"accuracy.":[89],"To":[90],"address":[91],"limitations,":[93],"we":[94],"propose":[95],"Multi-Directional":[97],"Framework":[99],"(MDDF),":[100],"which":[101],"integrates":[102],"forward,":[103],"backward,":[104],"interpolation":[106,148],"dynamics":[107,149],"fully":[109],"leverage":[110],"observations":[111,127],"all":[113],"MDDF":[116,182,203],"formulates":[117],"process":[120],"multi-boundary":[123],"value":[124],"problem,":[125],"enabling":[126],"at":[128],"any":[129],"time":[130],"point":[131],"constrain":[133],"predictions":[134],"across":[135],"entire":[137],"timeline.":[138],"We":[139],"further":[140],"introduce":[141],"rigorous":[142],"mathematical":[143],"formulations":[144],"backward":[146],"stochastic":[151],"processes,":[153],"unified":[155],"framework":[156],"reconcile":[158],"multi-directional":[159],"predictions,":[160],"an":[162],"adaptive":[163],"ensemble":[164],"mechanism":[165],"dynamically":[167],"weights":[168],"each":[169],"component":[170],"based":[171],"data":[173,198,216],"characteristics.":[174],"Extensive":[175],"experiments":[176],"datasets":[179],"demonstrate":[180],"not":[183],"only":[184],"surpasses":[185],"accuracy,":[190],"but":[191],"also":[192],"exhibits":[193],"exceptional":[194],"robustness":[195],"forecasting.":[201],"Notably,":[202],"achieves":[204],"up":[205,224],"27.4%":[207],"lower":[208],"MAE":[209],"than":[210],"best":[212],"baseline":[213],"under":[214],"high":[215],"sparsity,":[217],"reduces":[219],"errors":[222],"by":[223],"25%":[226],"compared":[227],"forward-only":[229],"approaches.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-03T00:00:00"}
