{"id":"https://openalex.org/W2609706265","doi":"https://doi.org/10.1109/icpr.2016.7900286","title":"Link prediction via Supervised Dynamic Network Formation","display_name":"Link prediction via Supervised Dynamic Network Formation","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2609706265","doi":"https://doi.org/10.1109/icpr.2016.7900286","mag":"2609706265"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5100701551","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-3755-415X"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Department of Computer Science, Central University of Finance and Economics"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Central University of Finance and Economics","institution_ids":["https://openalex.org/I137867983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101517110","display_name":"Lu Bai","orcid":"https://orcid.org/0000-0002-1033-8908"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Bai","raw_affiliation_strings":["Department of Computer Science, Central University of Finance and Economics"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Central University of Finance and Economics","institution_ids":["https://openalex.org/I137867983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100701551"],"corresponding_institution_ids":["https://openalex.org/I137867983"],"apc_list":null,"apc_paid":null,"fwci":0.221,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62066186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"4160","last_page":"4165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9965000152587891,"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":0.9850000143051147,"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/link","display_name":"Link (geometry)","score":0.8056032657623291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7787068486213684},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.535027265548706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4611073136329651},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.4104403257369995},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40504053235054016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10204571485519409},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06994545459747314}],"concepts":[{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.8056032657623291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7787068486213684},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.535027265548706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4611073136329651},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.4104403257369995},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40504053235054016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10204571485519409},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06994545459747314},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7900286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W34646664","https://openalex.org/W800216940","https://openalex.org/W1495750374","https://openalex.org/W1968164782","https://openalex.org/W2008620264","https://openalex.org/W2020382732","https://openalex.org/W2039750798","https://openalex.org/W2040811557","https://openalex.org/W2064321206","https://openalex.org/W2064754513","https://openalex.org/W2080769514","https://openalex.org/W2081675399","https://openalex.org/W2085322739","https://openalex.org/W2107933610","https://openalex.org/W2124637492","https://openalex.org/W2140426283","https://openalex.org/W2167467982","https://openalex.org/W2171031021","https://openalex.org/W2187996512","https://openalex.org/W2420733993","https://openalex.org/W2912358688","https://openalex.org/W4238955406"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0],"link":[1,16,22,105,133],"prediction":[2,17,106,134,153],"is":[3,63],"a":[4,36,84,151,160],"classical":[5],"problem":[6],"for":[7,24,154],"computer":[8],"science":[9],"and":[10,97,117],"many":[11],"other":[12],"research":[13],"fields.":[14],"Existing":[15],"methods":[18],"mainly":[19],"apply":[20],"the":[21,25,40,43,50,58,73,78,88,94,104,112,115,118,128,136,143,155],"patterns":[23],"network":[26,37,90],"in":[27,35,159],"order":[28],"to":[29,49,64,92,101],"predict":[30],"future":[31,156],"possible":[32,157],"links.":[33],"However,":[34],"generated":[38,138],"by":[39,57,72,139],"human":[41,140],"interaction,":[42],"links":[44,158],"may":[45],"not":[46],"only":[47],"relate":[48],"observed":[51],"datasets,":[52],"but":[53],"also":[54],"are":[55,70],"affected":[56,71],"decisions":[59],"of":[60,68,121],"human.":[61],"That":[62],"say,":[65],"this":[66,99,148],"kind":[67],"networks":[69,137],"game":[74,95],"processes":[75],"between":[76,114],"all":[77],"related":[79],"individuals.":[80],"This":[81],"paper":[82],"proposes":[83],"model":[85,100,130,149],"based":[86],"on":[87,135],"dynamic":[89],"formation":[91],"mimic":[93],"processes,":[96],"uses":[98],"deal":[102],"with":[103],"problem.":[107],"Moreover,":[108],"we":[109],"theoretically":[110],"demonstrate":[111],"relationship":[113],"parameters":[116],"limit":[119],"status":[120],"our":[122],"model.":[123],"Experimental":[124],"results":[125],"illustrate":[126],"that":[127],"proposed":[129],"does":[131],"better":[132],"interaction":[141],"than":[142],"traditional":[144],"methods.":[145],"Further":[146],"more,":[147],"gives":[150],"good":[152],"continuous":[161],"time":[162],"period.":[163]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
