{"id":"https://openalex.org/W4402158305","doi":"https://doi.org/10.1109/icc51166.2024.10622159","title":"DM-NAI: Dynamic Information Diffusion Model Incorporating Non-Adjacent Node Interaction","display_name":"DM-NAI: Dynamic Information Diffusion Model Incorporating Non-Adjacent Node Interaction","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4402158305","doi":"https://doi.org/10.1109/icc51166.2024.10622159"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10622159","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc51166.2024.10622159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","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/A5100406122","display_name":"Xinyu Li","orcid":"https://orcid.org/0000-0003-2563-7529"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyu Li","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100928377","display_name":"Jinyang Huang","orcid":"https://orcid.org/0000-0001-5483-2812"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyang Huang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115596253","display_name":"Xiang Zhang","orcid":"https://orcid.org/0009-0000-7229-6830"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information,Hefei,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073876545","display_name":"Peng Zhao","orcid":"https://orcid.org/0000-0002-1873-1667"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhao","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091955304","display_name":"Meng Wang","orcid":"https://orcid.org/0009-0002-2044-5536"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081656482","display_name":"Guohang Zhuang","orcid":"https://orcid.org/0000-0002-4744-7841"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohang Zhuang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007570003","display_name":"Huan Yan","orcid":"https://orcid.org/0000-0001-8744-8665"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Yan","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University,Guiyang,China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University,Guiyang,China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101297557","display_name":"Xiao Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Sun","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":null,"display_name":"Meng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100406122"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13813994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9958999752998352,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9958999752998352,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9958000183105469,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9609000086784363,"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":0.6784496903419495},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6244733333587646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6210151314735413},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18043416738510132},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.09932565689086914}],"concepts":[{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.6784496903419495},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6244733333587646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6210151314735413},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18043416738510132},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.09932565689086914},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10622159","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc51166.2024.10622159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1654194294","https://openalex.org/W1996218898","https://openalex.org/W2038433549","https://openalex.org/W2061820396","https://openalex.org/W2512239666","https://openalex.org/W2997017667","https://openalex.org/W3006978394","https://openalex.org/W3017892785","https://openalex.org/W3035160052","https://openalex.org/W3096056107","https://openalex.org/W3109704616","https://openalex.org/W3134766040","https://openalex.org/W3145617636","https://openalex.org/W3211860396","https://openalex.org/W3212897430","https://openalex.org/W4286254609","https://openalex.org/W4290996498","https://openalex.org/W4315977509","https://openalex.org/W4366377778","https://openalex.org/W4381280610","https://openalex.org/W4386737044","https://openalex.org/W4387872719","https://openalex.org/W4389319131"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Describing":[0],"the":[1,32,51,62,71,84,89,93],"dynamics":[2],"of":[3,25,35,92,105],"information":[4,36,52,63,72,85,119,129],"diffusion":[5,73,86,90,130],"within":[6],"social":[7,94],"networks":[8],"poses":[9],"a":[10,22,43],"formidable":[11],"challenge.":[12],"Despite":[13],"multiple":[14],"endeavors":[15],"aimed":[16],"at":[17],"addressing":[18],"this":[19,39],"issue,":[20],"only":[21,49],"limited":[23],"number":[24],"studies":[26],"have":[27],"effectively":[28],"replicated":[29],"and":[30,88],"forecasted":[31],"evolving":[33],"course":[34],"diffusion.":[37],"In":[38],"paper,":[40],"we":[41],"propose":[42],"novel":[44],"model,":[45],"DM-NAI,":[46],"which":[47],"not":[48],"considers":[50],"transfer":[53,64],"between":[54,65,121],"adjacent":[55],"users":[56,67,123],"but":[57],"also":[58],"takes":[59],"into":[60],"account":[61],"non-adjacent":[66,122],"to":[68,82,107],"comprehensively":[69],"depict":[70],"process.":[74],"Extensive":[75],"experiments":[76],"are":[77],"conducted":[78],"on":[79],"six":[80],"datasets":[81],"predict":[83],"range":[87,104],"trend":[91],"network.":[95],"The":[96],"experimental":[97],"results":[98],"demonstrate":[99],"an":[100],"average":[101],"prediction":[102],"accuracy":[103],"94.62%":[106],"96.71%,":[108],"respectively,":[109],"significantly":[110],"outperforming":[111],"state-of-the-art":[112],"solutions.":[113],"This":[114],"finding":[115],"illustrates":[116],"that":[117],"considering":[118],"transmission":[120],"helps":[124],"DM-NAI":[125],"achieve":[126],"more":[127],"accurate":[128],"predictions.":[131]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
