{"id":"https://openalex.org/W2164620755","doi":"https://doi.org/10.1145/1277741.1277815","title":"DiffusionRank","display_name":"DiffusionRank","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W2164620755","doi":"https://doi.org/10.1145/1277741.1277815","mag":"2164620755"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","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/A5090395493","display_name":"Haixuan Yang","orcid":"https://orcid.org/0000-0002-8724-4192"},"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":"Haixuan Yang","raw_affiliation_strings":["The Chinese University of Hong Kong, Shatin, NT, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, NT, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042251906","display_name":"Irwin King","orcid":"https://orcid.org/0000-0001-8106-6447"},"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":"Irwin King","raw_affiliation_strings":["The Chinese University of Hong Kong, Shatin, NT, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, NT, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","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, Shatin, NT, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, NT, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090395493"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":5.2242,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.96522204,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"431","last_page":"438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.998199999332428,"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":0.998199999332428,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9819999933242798,"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":0.8516364097595215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7218969464302063},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.650719404220581},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5003762245178223},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43818408250808716},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42687052488327026},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4177817404270172},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3596593141555786},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3261798322200775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32510215044021606},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.25035199522972107}],"concepts":[{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.8516364097595215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218969464302063},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.650719404220581},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5003762245178223},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43818408250808716},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42687052488327026},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4177817404270172},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3596593141555786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3261798322200775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32510215044021606},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.25035199522972107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1277741.1277815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","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":22,"referenced_works":["https://openalex.org/W1511160855","https://openalex.org/W1587314265","https://openalex.org/W1845137714","https://openalex.org/W1854214752","https://openalex.org/W1962287590","https://openalex.org/W1990144193","https://openalex.org/W2066055909","https://openalex.org/W2097308346","https://openalex.org/W2097973429","https://openalex.org/W2106750965","https://openalex.org/W2122899039","https://openalex.org/W2123108793","https://openalex.org/W2125771191","https://openalex.org/W2131791003","https://openalex.org/W2143331230","https://openalex.org/W2169263924","https://openalex.org/W2613433911","https://openalex.org/W2905110430","https://openalex.org/W3012381652","https://openalex.org/W4206212363","https://openalex.org/W4245139594","https://openalex.org/W6679655593"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W2900609923","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W2798835721","https://openalex.org/W2971071571","https://openalex.org/W2387658907","https://openalex.org/W2922169395","https://openalex.org/W2385796165"],"abstract_inverted_index":{"While":[0],"the":[1,14,25,35,49,61,65,73,84,94,97,114,141,151,166,169,173,177,181,200,213,217,232,236],"PageRank":[2,112],"algorithm":[3,42,234],"has":[4,130,195],"proven":[5],"to":[6,29,57,78,120,208,215,224],"be":[7,21,55,68,81,206],"very":[8],"effective":[9],"for":[10],"ranking":[11,41,59],"Web":[12,18,36,58,66,99,175,218],"pages,":[13],"rank":[15],"scores":[16],"of":[17,86,96,111,133,144,171,179,183],"pages":[19],"can":[20,54,67,80,92,106,164,205],"manipulated.":[22],"To":[23],"handle":[24],"manipulation":[26],"problem":[27],"and":[28,89,176,223],"cast":[30],"a":[31,40,76,109,124,149,196],"new":[32],"insight":[33],"on":[34,64,199,212],"structure,":[37],"we":[38,102],"propose":[39],"called":[43],"DiffusionRank.":[44],"DiffusionRank":[45,105,128,139,194,204,233],"is":[46,154,159,186],"motivated":[47],"by":[48],"heat":[50,71,90,115],"diffusion":[51,116],"phenomena,":[52],"which":[53],"connected":[56],"because":[60],"activities":[62],"flow":[63,91],"imagined":[69],"as":[70,83,108,240],"flow,":[72],"link":[74,201,226],"from":[75],"page":[77],"another":[79],"treated":[82],"pipe":[85],"an":[87,160],"air-conditioner,":[88],"embody":[93],"structure":[95,153],"underlying":[98],"graph.":[100],"Theoretically":[101],"show":[103,230],"that":[104,163,231],"serve":[107],"generalization":[110],"when":[113,190],"co-efficient":[117],"\u03b3":[118,136,158,191],"tends":[119],"infinity.":[121],"In":[122],"such":[123,148],"case":[125],"1=\u03b3=":[126],"0,":[127,138],"(PageRank)":[129],"low":[131],"ability":[132,143,170,178],"anti-manipulation.":[134],"When":[135],"=":[137,192],"obtains":[140],"highest":[142],"anti-manipulation,":[145],"but":[146],"in":[147],"case,":[150],"web":[152],"completely":[155],"ignored.":[156],"Consequently,":[157],"interesting":[161],"factor":[162],"control":[165],"balance":[167],"between":[168],"preserving":[172],"original":[174],"reducing":[180],"effect":[182,198],"manipulation.":[184,202],"It":[185],"found":[187],"empirically":[188],"that,":[189],"1,":[193],"Penicillin-like":[197],"Moreover,":[203],"employed":[207],"find":[209,225],"group-to-group":[210],"relations":[211],"Web,":[214],"divide":[216],"graph":[219],"into":[220],"several":[221],"parts,":[222],"communities.":[227],"Experimental":[228],"results":[229],"achieves":[235],"above":[237],"mentioned":[238],"advantages":[239],"expected.":[241]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2016-06-24T00:00:00"}