{"id":"https://openalex.org/W2547122840","doi":"https://doi.org/10.1109/ccis.2012.6664387","title":"Link prediction on evolving network using tensor-based node similarity","display_name":"Link prediction on evolving network using tensor-based node similarity","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2547122840","doi":"https://doi.org/10.1109/ccis.2012.6664387","mag":"2547122840"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2012.6664387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2012.6664387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","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/A5055951548","display_name":"Yang Xiao","orcid":"https://orcid.org/0000-0002-4740-1659"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao Yang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037131488","display_name":"Zhen Tian","orcid":"https://orcid.org/0000-0003-0945-8168"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Tian","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002796328","display_name":"Huayang Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huayang Cui","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087988450","display_name":"Zhaoxin Zhang","orcid":"https://orcid.org/0000-0002-9209-1717"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxin Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055951548"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.4882,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66049383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"154","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9818999767303467,"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":0.9350000023841858,"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/computer-science","display_name":"Computer science","score":0.7047430872917175},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5618973970413208},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.5377912521362305},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5285497903823853},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5179556608200073},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.49878716468811035},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.4706933796405792},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46607232093811035},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4505945146083832},{"id":"https://openalex.org/keywords/exponential-smoothing","display_name":"Exponential smoothing","score":0.4149984121322632},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.41052064299583435},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40312138199806213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3874940872192383},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37254488468170166},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3699132800102234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19967535138130188},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13270878791809082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7047430872917175},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5618973970413208},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.5377912521362305},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5285497903823853},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5179556608200073},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.49878716468811035},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4706933796405792},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46607232093811035},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4505945146083832},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.4149984121322632},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.41052064299583435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40312138199806213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3874940872192383},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37254488468170166},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3699132800102234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19967535138130188},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13270878791809082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2012.6664387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2012.6664387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1556758605","https://openalex.org/W1855065139","https://openalex.org/W1864134408","https://openalex.org/W2000215628","https://openalex.org/W2016792550","https://openalex.org/W2024165284","https://openalex.org/W2079063976","https://openalex.org/W2111708605","https://openalex.org/W2131492273","https://openalex.org/W2140862024","https://openalex.org/W2157082398","https://openalex.org/W2157825442","https://openalex.org/W2768375068","https://openalex.org/W3122868618","https://openalex.org/W4232932184"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2982430984","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W2078477160","https://openalex.org/W1989103179","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W2117632582"],"abstract_inverted_index":{"Recently":[0],"there":[1],"has":[2],"been":[3,40],"increasing":[4],"interest":[5],"in":[6,11,18,55,88,128,174],"researching":[7],"links":[8,29],"between":[9,30],"objects":[10,31],"complex":[12],"networks,":[13],"which":[14,61,77,91,124],"can":[15],"be":[16],"helpful":[17],"many":[19],"data":[20],"mining":[21],"tasks.":[22],"One":[23],"of":[24,28,48,57,110,137,147],"the":[25,108,135],"fundamental":[26],"researches":[27],"is":[32,78,117],"link":[33,36,139,164],"prediction.":[34],"Many":[35],"prediction":[37,75,140,165],"algorithms":[38,50,172],"have":[39],"proposed":[41,71],"and":[42,150,156],"perform":[43],"quite":[44,118],"well.":[45],"However,":[46],"most":[47],"those":[49],"only":[51],"concern":[52],"network":[53,86],"structure":[54],"terms":[56],"traditional":[58],"graph":[59],"theory,":[60],"lack":[62],"information":[63,151],"about":[64],"evolving":[65],"network.":[66],"In":[67,131],"this":[68,129,175],"paper":[69],"we":[70,142],"a":[72,93],"novel":[73],"tensor-based":[74,122,171],"method,":[76],"designed":[79],"through":[80],"two":[81],"steps:":[82],"First,":[83],"tracking":[84],"time-dependent":[85],"snapshots":[87],"adjacency":[89],"matrices":[90],"form":[92],"multi-way":[94],"tensor":[95],"by":[96],"using":[97],"exponential":[98],"smoothing":[99],"method.":[100],"Second,":[101],"apply":[102],"Common":[103],"Neighbor":[104],"algorithm":[105,116,166],"to":[106,133],"compute":[107],"degree":[109],"similarity":[111],"for":[112],"each":[113],"nodes.":[114],"This":[115],"different":[119],"from":[120],"other":[121],"algorithms,":[123],"also":[125],"are":[126],"mentioned":[127,173],"paper.":[130,176],"order":[132],"estimate":[134],"accuracy":[136],"our":[138,163],"algorithm,":[141],"employ":[143],"various":[144],"popular":[145],"datasets":[146],"social":[148],"networks":[149],"platforms,":[152],"such":[153],"as":[154],"Facebook":[155],"Wikipedia":[157],"networks.":[158],"The":[159],"results":[160],"show":[161],"that":[162],"performances":[167],"better":[168],"than":[169],"another":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
