{"id":"https://openalex.org/W2136116685","doi":"https://doi.org/10.1145/2063576.2063741","title":"Link prediction","display_name":"Link prediction","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W2136116685","doi":"https://doi.org/10.1145/2063576.2063741","mag":"2136116685"},"language":"en","primary_location":{"id":"doi:10.1145/2063576.2063741","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","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/A5100742464","display_name":"Rong-Hua Li","orcid":"https://orcid.org/0009-0003-1153-8906"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rong-Hua Li","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075642293","display_name":"Jeffrey Xu Yu","orcid":"https://orcid.org/0000-0002-9738-827X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeffrey Xu Yu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079797505","display_name":"Jianquan Liu","orcid":"https://orcid.org/0000-0003-4303-9020"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianquan Liu","raw_affiliation_strings":["University of Tsukuba, Japan, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Japan, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100742464"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":3.3582,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.92904669,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1147","last_page":"1156"},"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":0.9975000023841858,"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":0.9969000220298767,"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/centrality","display_name":"Centrality","score":0.750085711479187},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.6993141770362854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.626056969165802},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5525444149971008},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.5520654916763306},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5448496341705322},{"id":"https://openalex.org/keywords/random-geometric-graph","display_name":"Random geometric graph","score":0.520379900932312},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44438299536705017},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3766665756702423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3147706389427185},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.11479082703590393},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.1130845844745636}],"concepts":[{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.750085711479187},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.6993141770362854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.626056969165802},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5525444149971008},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.5520654916763306},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5448496341705322},{"id":"https://openalex.org/C30609935","wikidata":"https://www.wikidata.org/wiki/Q7291969","display_name":"Random geometric graph","level":5,"score":0.520379900932312},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44438299536705017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3766665756702423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3147706389427185},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.11479082703590393},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.1130845844745636},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2063576.2063741","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337511","display_name":"High Energy Physics","ror":"https://ror.org/035m6g344"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W14071851","https://openalex.org/W1511160855","https://openalex.org/W1514107797","https://openalex.org/W1558967143","https://openalex.org/W1578099820","https://openalex.org/W1608412409","https://openalex.org/W1774304772","https://openalex.org/W1875112053","https://openalex.org/W1964731129","https://openalex.org/W1973422829","https://openalex.org/W1979104937","https://openalex.org/W1999427600","https://openalex.org/W2003398838","https://openalex.org/W2003707464","https://openalex.org/W2008620264","https://openalex.org/W2015953751","https://openalex.org/W2019854450","https://openalex.org/W2025503267","https://openalex.org/W2026417691","https://openalex.org/W2028912620","https://openalex.org/W2037933327","https://openalex.org/W2044445294","https://openalex.org/W2069153192","https://openalex.org/W2087194317","https://openalex.org/W2104535569","https://openalex.org/W2106994213","https://openalex.org/W2107569009","https://openalex.org/W2112090702","https://openalex.org/W2117831564","https://openalex.org/W2130790725","https://openalex.org/W2144009057","https://openalex.org/W2148847267","https://openalex.org/W2154454189","https://openalex.org/W2161902954","https://openalex.org/W2161984370","https://openalex.org/W2485417371","https://openalex.org/W2545734817","https://openalex.org/W2572321817","https://openalex.org/W4241226388","https://openalex.org/W4247782380","https://openalex.org/W4285719527","https://openalex.org/W6630727257","https://openalex.org/W6679290402"],"related_works":["https://openalex.org/W4229078645","https://openalex.org/W1977345676","https://openalex.org/W4282032776","https://openalex.org/W2047552823","https://openalex.org/W4321606905","https://openalex.org/W3130445735","https://openalex.org/W2105110616","https://openalex.org/W2739658809","https://openalex.org/W2747930654","https://openalex.org/W2419362237"],"abstract_inverted_index":{"Link":[0],"prediction":[1,16,218],"is":[2,17],"a":[3,27,57,67,76],"fundamental":[4],"problem":[5],"in":[6,13,56,70,210],"social":[7],"network":[8,58,77],"analysis.":[9],"The":[10,43,227],"key":[11],"technique":[12],"unsupervised":[14],"link":[15,50,82,91,111,201,211,217],"to":[18,81,83,90,92,154,175,204],"find":[19],"an":[20,135],"appropriate":[21],"similarity":[22,34,195],"measure":[23],"between":[24],"nodes":[25,55,65,74,95,118],"of":[26,31,64,66,75,96,117,119,128,148,157,184,208],"network.":[28,68,98,121],"A":[29],"class":[30],"wildly":[32],"used":[33],"measures":[35,196],"are":[36,152],"based":[37,197,235],"on":[38,41,130,150,159,162,198,241],"random":[39,45,107],"walk":[40,46,108],"graph.":[42],"traditional":[44],"(TRW)":[47],"considers":[48],"the":[49,62,84,93,97,115,120,142,155,167,178,206,238],"structures":[51],"by":[52,133],"treating":[53],"all":[54],"equivalently,":[59],"and":[60,145,172,181,193,223],"ignores":[61],"centrality":[63,116],"However,":[69],"many":[71],"real":[72,225],"networks,":[73],"not":[78],"only":[79],"prefer":[80,89],"similar":[85],"node,":[86],"but":[87],"also":[88],"central":[94],"To":[99],"address":[100],"this":[101],"issue,":[102],"we":[103,123,164,187,213],"use":[104],"maximal":[105,168],"entropy":[106,169],"(MERW)":[109],"for":[110,200],"prediction,":[112,212],"which":[113],"incorporates":[114],"First,":[122],"study":[124],"certain":[125],"important":[126],"properties":[127],"MERW":[129,149,199,209,234],"graph":[131,137,170,191],"$G$":[132],"constructing":[134],"eigen-weighted":[136],"G.":[138,160],"We":[139],"show":[140,173,229],"that":[141,230],"transition":[143],"matrix":[144],"stationary":[146],"distribution":[147],"G":[151],"identical":[153],"ones":[156],"TRW":[158],"Based":[161],"G,":[163],"further":[165],"give":[166],"Laplacians,":[171],"how":[174],"fast":[176],"compute":[177],"hitting":[179],"time":[180,183],"commute":[182],"MERW.":[185],"Second,":[186],"propose":[188],"four":[189],"new":[190],"kernels":[192],"two":[194],"prediction.":[202],"Finally,":[203],"exhibit":[205],"power":[207],"compare":[214],"27":[215],"various":[216],"methods":[219,236],"over":[220],"3":[221],"synthetic":[222],"8":[224],"networks.":[226],"results":[228],"our":[231],"newly":[232],"proposed":[233],"outperform":[237],"state-of-the-art":[239],"method":[240],"most":[242],"datasets.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2016-06-24T00:00:00"}