{"id":"https://openalex.org/W4384521522","doi":"https://doi.org/10.1109/tcss.2023.3293075","title":"Predicting Higher Order Links in Social Interaction Networks","display_name":"Predicting Higher Order Links in Social Interaction Networks","publication_year":2023,"publication_date":"2023-07-17","ids":{"openalex":"https://openalex.org/W4384521522","doi":"https://doi.org/10.1109/tcss.2023.3293075"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2023.3293075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2023.3293075","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/A5100567309","display_name":"Yongjian He","orcid":null},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong-Jian He","raw_affiliation_strings":["College of Information and Communication Engineering and the SEAC Key Laboratory of Big Data Applied Technology, Dalian Minzu University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering and the SEAC Key Laboratory of Big Data Applied Technology, Dalian Minzu University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087448806","display_name":"Xiao-Ke Xu","orcid":"https://orcid.org/0000-0002-9148-3145"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Ke Xu","raw_affiliation_strings":["Computational Communication Research Center and the School of Journalism and Communication, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9148-3145","affiliations":[{"raw_affiliation_string":"Computational Communication Research Center and the School of Journalism and Communication, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101878727","display_name":"Jing Xiao","orcid":"https://orcid.org/0000-0002-9953-5878"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xiao","raw_affiliation_strings":["College of Information and Communication Engineering and the SEAC Key Laboratory of Big Data Applied Technology, Dalian Minzu University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-9953-5878","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering and the SEAC Key Laboratory of Big Data Applied Technology, Dalian Minzu University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3979,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79906428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"2","first_page":"2796","last_page":"2806"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.8927951455116272},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7753376364707947},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6838971376419067},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.6586694717407227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6360482573509216},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5324476957321167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4572117328643799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4355045557022095},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38863253593444824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15021681785583496},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14848655462265015},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09019502997398376}],"concepts":[{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.8927951455116272},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7753376364707947},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6838971376419067},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.6586694717407227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6360482573509216},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5324476957321167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4572117328643799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4355045557022095},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38863253593444824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15021681785583496},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14848655462265015},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09019502997398376},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2023.3293075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2023.3293075","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":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3075647448","display_name":null,"funder_award_id":"62173065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G798732626","display_name":null,"funder_award_id":"61603073","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":59,"referenced_works":["https://openalex.org/W1886177017","https://openalex.org/W1979104937","https://openalex.org/W2007444087","https://openalex.org/W2008620264","https://openalex.org/W2017102965","https://openalex.org/W2021969955","https://openalex.org/W2031869443","https://openalex.org/W2110684048","https://openalex.org/W2118027753","https://openalex.org/W2141113219","https://openalex.org/W2153624566","https://openalex.org/W2154454189","https://openalex.org/W2157825442","https://openalex.org/W2165700458","https://openalex.org/W2295598076","https://openalex.org/W2345502785","https://openalex.org/W2386195190","https://openalex.org/W2470861207","https://openalex.org/W2503647350","https://openalex.org/W2562676961","https://openalex.org/W2564084673","https://openalex.org/W2738793433","https://openalex.org/W2748936567","https://openalex.org/W2787887656","https://openalex.org/W2788030877","https://openalex.org/W2811295899","https://openalex.org/W2883165869","https://openalex.org/W2947657325","https://openalex.org/W2950742983","https://openalex.org/W2962756421","https://openalex.org/W2986709981","https://openalex.org/W2987154163","https://openalex.org/W2998344460","https://openalex.org/W3003235278","https://openalex.org/W3004621088","https://openalex.org/W3006318668","https://openalex.org/W3031911903","https://openalex.org/W3037160975","https://openalex.org/W3048764264","https://openalex.org/W3083421733","https://openalex.org/W3093516620","https://openalex.org/W3099736351","https://openalex.org/W3101290021","https://openalex.org/W3103282731","https://openalex.org/W3103814605","https://openalex.org/W3107568551","https://openalex.org/W3111896245","https://openalex.org/W3135378849","https://openalex.org/W3136359506","https://openalex.org/W3158161201","https://openalex.org/W3167589798","https://openalex.org/W3202715456","https://openalex.org/W3207704415","https://openalex.org/W4232932184","https://openalex.org/W4237271795","https://openalex.org/W4242825868","https://openalex.org/W4281784631","https://openalex.org/W4284699072","https://openalex.org/W4382119297"],"related_works":["https://openalex.org/W2726467123","https://openalex.org/W2064726690","https://openalex.org/W4252678288","https://openalex.org/W4254065731","https://openalex.org/W1607297154","https://openalex.org/W4210820789","https://openalex.org/W4237782192","https://openalex.org/W2913177154","https://openalex.org/W4235131201","https://openalex.org/W4232793539"],"abstract_inverted_index":{"Link":[0],"prediction":[1,83,102,187],"is":[2,30],"a":[3,48,77,158,196],"significant":[4],"research":[5],"problem":[6,79],"in":[7,58],"network":[8],"science":[9],"and":[10,71,103,151,169],"has":[11,139],"widespread":[12],"applications.":[13],"To":[14],"date,":[15],"much":[16],"efforts":[17],"have":[18],"focused":[19],"on":[20,63,112],"predicting":[21,52],"the":[22,33,53,86,105,135,173,185,200],"links":[23,36,54,89,119],"generated":[24,90],"by":[25,38,69,91],"pairwise":[26],"interactions,":[27],"but":[28,192],"little":[29],"known":[31],"about":[32],"predictability":[34,87],"of":[35,55,80,88,107,189,199,203],"created":[37],"higher":[39,117,152,204],"order":[40,118,128,150,153,205],"interaction":[41,60,93],"patterns.":[42,94],"In":[43],"this":[44],"study,":[45],"we":[46,75,96,156],"investigated":[47],"new":[49,78,159],"framework":[50],"for":[51,99,147],"different":[56,190],"orders":[57],"social":[59],"networks":[61,114],"based":[62],"edge":[64],"orbit":[65],"degrees":[66],"(EODs)":[67],"characterized":[68],"three-node":[70,137],"four-node":[72],"graphlets.":[73],"First,":[74],"defined":[76],"different-order":[81,92,100,108,167],"link":[82,101,186],"to":[84,123,165,195],"examine":[85],"Second,":[95],"quantified":[97],"EODs":[98,163],"examined":[104],"performance":[106,188],"predictors.":[109],"The":[110],"experiments":[111,170],"real-world":[113],"show":[115],"that":[116,134,172],"are":[120],"more":[121],"accessible":[122],"be":[124],"predicted":[125],"than":[126],"lower":[127,149],"(two-order)":[129],"links.":[130,154],"We":[131],"also":[132,193],"found":[133],"closed":[136],"EOD":[138],"strong":[140],"predictive":[141],"power,":[142],"which":[143],"can":[144,180],"accurately":[145],"predict":[146,166],"both":[148],"Finally,":[155],"proposed":[157],"method":[160],"fusing":[161],"multiple":[162],"(MEOD)":[164],"links,":[168],"indicate":[171],"MEOD":[174],"outperforms":[175],"state-of-the-art":[176],"methods.":[177],"Our":[178],"findings":[179],"not":[181],"only":[182],"effectively":[183],"improve":[184],"orders,":[191],"contribute":[194],"better":[197],"understanding":[198],"organizational":[201],"principle":[202],"structures.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
