{"id":"https://openalex.org/W3202856987","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534271","title":"Link Prediction of Directed Network Based on Node Importance","display_name":"Link Prediction of Directed Network Based on Node Importance","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3202856987","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534271","mag":"3202856987"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5006072880","display_name":"Luomin Du","orcid":"https://orcid.org/0000-0003-1359-5755"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luomin Du","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026602746","display_name":"Yan Tang","orcid":"https://orcid.org/0000-0001-5239-5807"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Tang","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055825962","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0001-9678-3369"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006072880"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1465169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"390","issue":null,"first_page":"1","last_page":"8"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.996399998664856,"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":0.9793999791145325,"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/pagerank","display_name":"PageRank","score":0.8031679391860962},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.7766704559326172},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.7625725269317627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7091831564903259},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6675207018852234},{"id":"https://openalex.org/keywords/reciprocal","display_name":"Reciprocal","score":0.6609541773796082},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47281208634376526},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3320918679237366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2726314067840576},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23059135675430298},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0744023323059082}],"concepts":[{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.8031679391860962},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.7766704559326172},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.7625725269317627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091831564903259},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6675207018852234},{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.6609541773796082},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47281208634376526},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3320918679237366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2726314067840576},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23059135675430298},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0744023323059082},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/ijcnn52387.2021.9534271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W131619556","https://openalex.org/W330157222","https://openalex.org/W1500117362","https://openalex.org/W1575736368","https://openalex.org/W1766001749","https://openalex.org/W1854214752","https://openalex.org/W1971040550","https://openalex.org/W1979104937","https://openalex.org/W1979202039","https://openalex.org/W2007444087","https://openalex.org/W2037933327","https://openalex.org/W2041472519","https://openalex.org/W2057611711","https://openalex.org/W2112615110","https://openalex.org/W2118169662","https://openalex.org/W2131492273","https://openalex.org/W2138621811","https://openalex.org/W2152284345","https://openalex.org/W2153624566","https://openalex.org/W2157082398","https://openalex.org/W2157825442","https://openalex.org/W2160938187","https://openalex.org/W2341865734","https://openalex.org/W2564084673","https://openalex.org/W2623462650","https://openalex.org/W2755088640","https://openalex.org/W2800024443","https://openalex.org/W3005418481","https://openalex.org/W3082457674","https://openalex.org/W3098818882","https://openalex.org/W3101427803","https://openalex.org/W4232932184","https://openalex.org/W6639055396"],"related_works":["https://openalex.org/W2106626222","https://openalex.org/W2391753177","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2996284460","https://openalex.org/W2125493559","https://openalex.org/W157728438","https://openalex.org/W3125641992","https://openalex.org/W1787322086","https://openalex.org/W2098964748"],"abstract_inverted_index":{"Directed":[0],"link":[1,30,88,148,165],"prediction":[2,197],"aims":[3],"to":[4,63,108,157,180],"predict":[5],"the":[6,15,38,46,51,54,57,60,64,67,81,84,94,99,105,110,120,123,126,132,135,138,142,146,153,159,169,172,196],"emergence":[7],"of":[8,18,23,34,56,59,66,83,122,134,141,161,171],"future":[9],"relations":[10],"and":[11,49,116,129,183],"their":[12],"orientations":[13],"from":[14],"structure":[16],"information":[17,40,96],"current":[19],"network.":[20],"A":[21],"lot":[22],"methods":[24],"have":[25],"been":[26],"proposed":[27],"for":[28,86,113,164],"directed":[29,87,189],"prediction,":[31],"however,":[32],"most":[33],"them":[35],"only":[36,92],"consider":[37],"shared":[39,95],"between":[41],"node":[42,47,61,85,115,124,136,162],"pairs":[43,163],"when":[44],"calculating":[45],"similarity,":[48],"ignore":[50],"difference":[52],"in":[53,72],"contribution":[55],"importance":[58,82,121,133],"itself":[62],"formation":[65],"link.":[68],"For":[69],"this":[70,73],"reason,":[71],"paper,":[74],"we":[75,151,175],"propose":[76],"a":[77],"method":[78,103,179,194],"based":[79],"on":[80,186],"prediction.":[89,166],"It":[90],"not":[91],"considers":[93],"but":[97],"also":[98],"nodes'":[100,173],"importance.":[101],"The":[102],"utilizes":[104],"PageRank":[106],"algorithm":[107],"calculate":[109,158],"PR":[111],"value":[112],"every":[114],"corrects":[117],"it":[118],"as":[119],"by":[125,144],"network":[127,143],"size,":[128],"then":[130],"integrates":[131],"into":[137],"adjacent":[139],"matrix":[140],"defining":[145],"reciprocal":[147],"weight.":[149],"Then":[150],"use":[152],"improved":[154],"Bifan":[155],"predictor":[156],"similarity":[160],"To":[167],"validate":[168],"introduction":[170],"importance,":[174],"further":[176],"extend":[177],"our":[178,193],"classic":[181],"predictors":[182],"experiments":[184],"results":[185],"eight":[187],"real":[188],"networks":[190],"demonstrate":[191],"that":[192],"improves":[195],"accuracy.":[198]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
