{"id":"https://openalex.org/W7128846553","doi":"https://doi.org/10.2478/jaiscr-2026-0008","title":"Community Detection with Higher-Order Edge Enhancement in Temporal Networks","display_name":"Community Detection with Higher-Order Edge Enhancement in Temporal Networks","publication_year":2026,"publication_date":"2026-02-09","ids":{"openalex":"https://openalex.org/W7128846553","doi":"https://doi.org/10.2478/jaiscr-2026-0008"},"language":"en","primary_location":{"id":"doi:10.2478/jaiscr-2026-0008","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2026-0008","pdf_url":"https://reference-global.com/download/article/10.2478/jaiscr-2026-0008.pdf","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://reference-global.com/download/article/10.2478/jaiscr-2026-0008.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012887983","display_name":"Feiyu Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyu Yin","raw_affiliation_strings":["College of Biomedical Engineering , Fudan university , Shanghai , , China"],"raw_orcid":"https://orcid.org/0009-0001-8007-2199","affiliations":[{"raw_affiliation_string":"College of Biomedical Engineering , Fudan university , Shanghai , , China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125961537","display_name":"Yu Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xia","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration , Shanghai Jiao Tong University , Shanghai , , China"],"raw_orcid":"https://orcid.org/0009-0008-7271-5386","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration , Shanghai Jiao Tong University , Shanghai , , China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062416142","display_name":"Agnieszka Siwocha","orcid":"https://orcid.org/0000-0003-2562-236X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agnieszka Siwocha","raw_affiliation_strings":["Information Technology Institute , SAN University , \u0141\u00f3d\u017a , Poland"],"raw_orcid":"https://orcid.org/0000-0003-2562-236X","affiliations":[{"raw_affiliation_string":"Information Technology Institute , SAN University , \u0141\u00f3d\u017a , Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125955434","display_name":"Zhanyu Cen","orcid":null},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanyu Cen","raw_affiliation_strings":["Ningbo Zhongda Leader Intelligent Transmission Co., Ltd ., Ningbo , China"],"raw_orcid":"https://orcid.org/0009-0008-0066-3070","affiliations":[{"raw_affiliation_string":"Ningbo Zhongda Leader Intelligent Transmission Co., Ltd ., Ningbo , China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125922290","display_name":"Jie Chen","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":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["College of Electronic Engineering , National University of Defense Technology , Changsha , , China"],"raw_orcid":"https://orcid.org/0000-0002-7335-995X","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering , National University of Defense Technology , Changsha , , China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19483214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"2","first_page":"145","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.7275999784469604,"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":0.7275999784469604,"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":0.1624000072479248,"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/T13283","display_name":"Mental Health Research Topics","score":0.011500000022351742,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7766000032424927},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5598999857902527},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5390999913215637},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5213000178337097},{"id":"https://openalex.org/keywords/information-loss","display_name":"Information loss","score":0.515999972820282},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4668000042438507},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45719999074935913},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.43389999866485596}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7766000032424927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5892999768257141},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5598999857902527},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5390999913215637},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5213000178337097},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.515999972820282},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4668000042438507},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45719999074935913},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.43389999866485596},{"id":"https://openalex.org/C207821765","wikidata":"https://www.wikidata.org/wiki/Q405372","display_name":"Instability","level":2,"score":0.41370001435279846},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38999998569488525},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.38179999589920044},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.38029998540878296},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3598000109195709},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29589998722076416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2930999994277954},{"id":"https://openalex.org/C123757187","wikidata":"https://www.wikidata.org/wiki/Q9195957","display_name":"Network dynamics","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.27079999446868896},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2478/jaiscr-2026-0008","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2026-0008","pdf_url":"https://reference-global.com/download/article/10.2478/jaiscr-2026-0008.pdf","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2478/jaiscr-2026-0008","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2026-0008","pdf_url":"https://reference-global.com/download/article/10.2478/jaiscr-2026-0008.pdf","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.416227251291275,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7128846553.pdf","grobid_xml":"https://content.openalex.org/works/W7128846553.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1998819761","https://openalex.org/W2022651954","https://openalex.org/W2023655578","https://openalex.org/W2033403400","https://openalex.org/W2040956707","https://openalex.org/W2095293504","https://openalex.org/W2102907934","https://openalex.org/W2108614537","https://openalex.org/W2131681506","https://openalex.org/W2151936673","https://openalex.org/W2153624566","https://openalex.org/W2155369095","https://openalex.org/W2166563561","https://openalex.org/W2241571695","https://openalex.org/W2292727432","https://openalex.org/W2470861207","https://openalex.org/W2568661987","https://openalex.org/W2605850919","https://openalex.org/W2734601503","https://openalex.org/W2783382315","https://openalex.org/W2795398503","https://openalex.org/W2946387849","https://openalex.org/W2949078036","https://openalex.org/W2962752269","https://openalex.org/W2965142175","https://openalex.org/W2970290513","https://openalex.org/W2975802621","https://openalex.org/W3004482892","https://openalex.org/W3008313157","https://openalex.org/W3124574237","https://openalex.org/W3125552022","https://openalex.org/W3126463324","https://openalex.org/W3195683952","https://openalex.org/W3197720864","https://openalex.org/W4214700755","https://openalex.org/W4254649231","https://openalex.org/W4390480766","https://openalex.org/W4392152054","https://openalex.org/W4392207619","https://openalex.org/W4393029488","https://openalex.org/W4394582866","https://openalex.org/W4394896993","https://openalex.org/W4401094167","https://openalex.org/W4401213434","https://openalex.org/W4401628527","https://openalex.org/W4402260802","https://openalex.org/W4403510646","https://openalex.org/W4408640456","https://openalex.org/W4408668209","https://openalex.org/W4411358746","https://openalex.org/W4411403468","https://openalex.org/W4412189819","https://openalex.org/W4414008153"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Dynamic":[1],"community":[2,13,148,154,175],"detection":[3,149],"often":[4],"suffers":[5],"from":[6],"the":[7,21,29,46,49,54,94,101,113,119,122,127],"instability":[8,95],"of":[9,31,42,106,115,121,130],"results,":[10],"making":[11],"consistent":[12],"identification":[14],"across":[15],"network":[16,187],"snapshots":[17,25,110],"critically":[18],"important.":[19],"However,":[20],"cut":[22],"off":[23],"between":[24,48,61,108],"might":[26],"lead":[27],"to":[28,87,92,111],"loss":[30,63,114],"some":[32],"higher-order":[33,51,62,81,90,102,116,178],"structures,":[34],"such":[35],"as":[36],"closed":[37],"triangle":[38,123],"motifs.":[39],"In":[40],"view":[41],"this,":[43],"we":[44,77],"examine":[45],"relationship":[47],"missing":[50],"structures":[52],"and":[53,56,66,137,151,161],"instability,":[55],"find":[57],"a":[58,79,182],"positive":[59],"correlation":[60],"ratio":[64],"(HOLR)":[65],"temporal":[67,128,174],"smoothing":[68],"normalized":[69],"mutual":[70],"information":[71,117],"(TSNMI).":[72],"Based":[73],"on":[74,135],"this":[75],"finding,":[76],"propose":[78],"new-brand":[80],"edge":[82],"enhancement":[83],"(HOEE)":[84],"algorithm,":[85],"aiming":[86],"effectively":[88,172],"reconstruct":[89],"interactions":[91],"overcome":[93],"issue.":[96],"The":[97,169],"HOEE":[98,143,170],"algorithm":[99,171],"employs":[100],"activity":[103],"potential":[104],"(HAP)":[105],"nodes":[107],"consecutive":[109],"recover":[112],"by":[118,167],"transformation":[120],"motif,":[124],"thus":[125],"ensuring":[126],"stability":[129,159,176],"dynamic":[131,139,186],"communities.":[132],"Experimental":[133],"evaluation":[134],"synthetic":[136],"real-world":[138],"networks":[140],"demonstrates":[141],"that":[142],"outperforms":[144],"state-of-the-art":[145],"methods":[146],"in":[147],"accuracy":[150],"significantly":[152],"reduces":[153],"instability.":[155],"Theoretical":[156],"analysis":[157],"confirms":[158],"guarantees":[160],"characterizes":[162],"graph":[163],"property":[164],"changes":[165],"induced":[166],"HOEE.":[168],"enhances":[173],"through":[177],"interaction":[179],"reconstruction,":[180],"providing":[181],"robust":[183],"solution":[184],"for":[185],"analysis.":[188]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-14T00:00:00"}
