{"id":"https://openalex.org/W3080341557","doi":"https://doi.org/10.1145/3404555.3404598","title":"An Improved Link Prediction Algorithm Based on Comprehensive Consideration of Joint Influence of Adjacent Nodes for Random Walk with Restart","display_name":"An Improved Link Prediction Algorithm Based on Comprehensive Consideration of Joint Influence of Adjacent Nodes for Random Walk with Restart","publication_year":2020,"publication_date":"2020-04-23","ids":{"openalex":"https://openalex.org/W3080341557","doi":"https://doi.org/10.1145/3404555.3404598","mag":"3080341557"},"language":"en","primary_location":{"id":"doi:10.1145/3404555.3404598","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404555.3404598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101732702","display_name":"Liang Lv","orcid":"https://orcid.org/0009-0001-6242-4584"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lv","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033673424","display_name":"Can Yi","orcid":"https://orcid.org/0000-0002-8869-3360"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Can Yi","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075445150","display_name":"Banglv Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Banglv Wu","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065812479","display_name":"Mingxuan Hu","orcid":"https://orcid.org/0000-0003-2101-5343"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxuan Hu","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"380","last_page":"387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9843000173568726,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.8479800224304199},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6728392839431763},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6628190279006958},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5177516341209412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.512091875076294},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.510017454624176},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.4910430908203125},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.44475221633911133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39968281984329224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2585904598236084},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1965898871421814}],"concepts":[{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.8479800224304199},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6728392839431763},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6628190279006958},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5177516341209412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.512091875076294},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.510017454624176},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.4910430908203125},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.44475221633911133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39968281984329224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2585904598236084},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1965898871421814},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404555.3404598","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404555.3404598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","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":27,"referenced_works":["https://openalex.org/W1893639437","https://openalex.org/W1971040550","https://openalex.org/W2007444087","https://openalex.org/W2017099446","https://openalex.org/W2026417691","https://openalex.org/W2094234423","https://openalex.org/W2112090702","https://openalex.org/W2152284345","https://openalex.org/W2153579005","https://openalex.org/W2154454189","https://openalex.org/W2154851992","https://openalex.org/W2157825442","https://openalex.org/W2158698691","https://openalex.org/W2290174960","https://openalex.org/W2295044017","https://openalex.org/W2417010772","https://openalex.org/W2554418811","https://openalex.org/W2556609853","https://openalex.org/W2611395389","https://openalex.org/W2746595832","https://openalex.org/W2788921726","https://openalex.org/W2808028840","https://openalex.org/W2926753566","https://openalex.org/W2962756421","https://openalex.org/W2963168676","https://openalex.org/W3104097132","https://openalex.org/W4247782380"],"related_works":["https://openalex.org/W1597743604","https://openalex.org/W1518185400","https://openalex.org/W2038723108","https://openalex.org/W3200586296","https://openalex.org/W3161230432","https://openalex.org/W4230332972","https://openalex.org/W1998033311","https://openalex.org/W4247322236","https://openalex.org/W4231165741","https://openalex.org/W2033630974"],"abstract_inverted_index":{"In":[0,52],"the":[1,8,26,29,40,45,49,64,67,76,81,93,97,101,115,145,148,154,160,167,170,181,189],"basic":[2],"random":[3],"walk":[4,21],"link":[5,57,127,130,200],"prediction":[6,58,131],"method,":[7],"probability":[9,83,95],"of":[10,28,42,44,54,66,85,96,178,192],"a":[11,16,20,56],"walking":[12,98],"particle":[13],"when":[14],"selecting":[15],"neighbor":[17,72,102],"node":[18,69],"for":[19,126],"is":[22,34,60,183],"determined":[23],"only":[24,152],"by":[25,175],"degree":[27,43],"current":[30,68],"node,":[31],"and":[32,36,70,162,180],"it":[33],"fixed":[35],"uniform,":[37],"without":[38],"considering":[39],"impact":[41],"neighboring":[46],"nodes":[47,73],"on":[48,136],"transition":[50,77,82,94],"probability.":[51,78],"view":[53],"this,":[55],"algorithm":[59,90,122,150,191],"proposed":[61,194],"in":[62,123,199],"which":[63],"degrees":[65],"its":[71],"jointly":[74],"determine":[75],"First,":[79],"using":[80],"model":[84],"Metropolis-Hasting":[86,116],"Random":[87,106,117],"Walk":[88,107,118],"(MHRW)":[89],"to":[91,113,196],"redefine":[92],"particles":[99],"between":[100],"nodes,":[103],"then":[104],"combining":[105],"with":[108,119,144,166],"Restart":[109,120],"(RWR)":[110],"similarity":[111],"index":[112],"propose":[114],"(MHRWR)":[121],"this":[124],"paper":[125],"prediction.":[128,201],"The":[129],"comparison":[132],"experiments":[133],"been":[134],"performed":[135],"6":[137],"different":[138],"scale":[139],"real":[140],"network":[141],"datasets.":[142],"Compared":[143],"benchmark":[146],"algorithm,":[147,169],"MHRWR":[149,190],"not":[151],"improved":[153,159],"AUC":[155,171],"index,":[156],"but":[157],"also":[158],"Precision":[161],"Ranking":[163],"score;":[164],"compared":[165],"RWR":[168],"value":[172],"has":[173],"increased":[174],"an":[176],"average":[177],"2.10%,":[179],"highest":[182],"5.34%.":[184],"Experimental":[185],"results":[186],"show":[187],"that":[188],"our":[193],"leads":[195],"superior":[197],"accuracy":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}