{"id":"https://openalex.org/W2103613275","doi":"https://doi.org/10.1145/1013367.1013422","title":"The powerrank web link analysis algorithm","display_name":"The powerrank web link analysis algorithm","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2103613275","doi":"https://doi.org/10.1145/1013367.1013422","mag":"2103613275"},"language":"en","primary_location":{"id":"doi:10.1145/1013367.1013422","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1013367.1013422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters  - WWW Alt. '04","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/A5075142583","display_name":"Yizhou Lu","orcid":"https://orcid.org/0000-0002-8988-8848"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yizhou Lu","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007939104","display_name":"Benyu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Benyu Zhang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P. R. China","[Microsoft Research Asia, Beijing, P.R. China]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"[Microsoft Research Asia, Beijing, P.R. China]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110883071","display_name":"Wensi Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wensi Xi","raw_affiliation_strings":["Virginia Polytechnic Institute and State University, Blacksburg, VA","Virginia Polytechnic Institute and State University Blacksburg Va"],"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University, Blacksburg, VA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Virginia Polytechnic Institute and State University Blacksburg Va","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062134313","display_name":"Zheng Chen","orcid":"https://orcid.org/0000-0002-0263-6286"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zheng Chen","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P. R. China","[Microsoft Research Asia, Beijing, P.R. China]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"[Microsoft Research Asia, Beijing, P.R. China]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695128","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0001-9993-0731"},"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":"Yi Liu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong","The Chinese University of Hong Kong, Hong Kong#TAB#"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong#TAB#","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069596903","display_name":"Michael R. Lyu","orcid":"https://orcid.org/0000-0002-3666-5798"},"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":"Michael R. Lyu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong","The Chinese University of Hong Kong, Hong Kong#TAB#"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong#TAB#","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103733614","display_name":"Wei\u2010Ying Ma","orcid":"https://orcid.org/0000-0002-7384-0735"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Wei-ying Ma","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P. R. China","[Microsoft Research Asia, Beijing, P.R. China]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"[Microsoft Research Asia, Beijing, P.R. China]","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5075142583"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.9694,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86494965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"254","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9603000283241272,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13976","display_name":"Web visibility and informetrics","score":0.9502000212669373,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8340633511543274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.780659556388855},{"id":"https://openalex.org/keywords/link-analysis","display_name":"Link analysis","score":0.6435868144035339},{"id":"https://openalex.org/keywords/hits-algorithm","display_name":"HITS algorithm","score":0.6305127143859863},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.5730798244476318},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5101635456085205},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5020408630371094},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4807838797569275},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4290730655193329},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4259258508682251},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2884385585784912},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18284723162651062},{"id":"https://openalex.org/keywords/web-navigation","display_name":"Web navigation","score":0.176619291305542},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16469204425811768},{"id":"https://openalex.org/keywords/web-search-engine","display_name":"Web search engine","score":0.1473185420036316}],"concepts":[{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.8340633511543274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.780659556388855},{"id":"https://openalex.org/C1173588","wikidata":"https://www.wikidata.org/wiki/Q6554294","display_name":"Link analysis","level":2,"score":0.6435868144035339},{"id":"https://openalex.org/C195409031","wikidata":"https://www.wikidata.org/wiki/Q1031957","display_name":"HITS algorithm","level":5,"score":0.6305127143859863},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.5730798244476318},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5101635456085205},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5020408630371094},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4807838797569275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4290730655193329},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4259258508682251},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2884385585784912},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18284723162651062},{"id":"https://openalex.org/C61096286","wikidata":"https://www.wikidata.org/wiki/Q7978592","display_name":"Web navigation","level":3,"score":0.176619291305542},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16469204425811768},{"id":"https://openalex.org/C521815418","wikidata":"https://www.wikidata.org/wiki/Q4182287","display_name":"Web search engine","level":4,"score":0.1473185420036316}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1013367.1013422","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1013367.1013422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters  - WWW Alt. '04","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.129.4216","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.4216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.cse.msu.edu/~liuyi3/publications/lu-04-powerrank.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8299999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320333993","display_name":"Microsoft Research Asia","ror":"https://ror.org/0300m5276"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1521333607","https://openalex.org/W1854214752","https://openalex.org/W1976969221"],"related_works":["https://openalex.org/W2380608531","https://openalex.org/W2059631619","https://openalex.org/W2536749602","https://openalex.org/W2542162642","https://openalex.org/W1558012608","https://openalex.org/W1502175497","https://openalex.org/W2183307257","https://openalex.org/W2126097074","https://openalex.org/W2362493235","https://openalex.org/W2371803608"],"abstract_inverted_index":{"The":[0,56,102],"web":[1,54,71,87,113],"graph":[2],"follows":[3],"the":[4,15,43,49,53,62,70,78,81,123],"power":[5,44],"law":[6,45],"distribution":[7,46],"and":[8,48],"has":[9],"a":[10,31],"hierarchy":[11,50],"structure.":[12],"But":[13],"neither":[14],"PageRank":[16,109,124],"algorithm":[17,35,57,104,117],"nor":[18],"any":[19],"of":[20,42,52,122],"its":[21],"improvements":[22],"leverage":[23],"these":[24],"attributes.":[25],"In":[26,61,77],"this":[27],"paper,":[28],"we":[29],"propose":[30],"novel":[32],"link":[33],"analysis":[34],"\"the":[36],"PowerRank":[37,103,116],"algorithm\",":[38],"which":[39],"makes":[40],"use":[41],"attribute":[47],"structure":[51],"graph.":[55],"consists":[58],"two":[59],"parts.":[60],"first":[63],"part,":[64,80],"special":[65],"treatment":[66],"is":[67,89],"applied":[68],"to":[69,120],"pages":[72,114],"with":[73],"low":[74],"\"importance\"":[75,83],"score.":[76],"second":[79],"global":[82],"score":[84],"for":[85],"each":[86],"page":[88],"obtained":[90],"by":[91],"combining":[92],"those":[93],"scores":[94],"together.":[95],"Our":[96],"experimental":[97],"results":[98],"show":[99],"that:":[100],"1)":[101],"computes":[105],"10%-30%":[106],"faster":[107],"than":[108],"algorithm.":[110,125],"2)":[111],"Top":[112],"in":[115],"remain":[118],"similar":[119],"that":[121]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}