{"id":"https://openalex.org/W2743450798","doi":"https://doi.org/10.1145/3106426.3109447","title":"Partial sums-based P-Rank computation in information networks","display_name":"Partial sums-based P-Rank computation in information networks","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2743450798","doi":"https://doi.org/10.1145/3106426.3109447","mag":"2743450798"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3109447","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3109447","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","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/A5004091362","display_name":"Jinhua Wang","orcid":"https://orcid.org/0000-0003-4607-3742"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinhua Wang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101956344","display_name":"Mingxi Zhang","orcid":"https://orcid.org/0000-0003-2718-2644"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxi Zhang","raw_affiliation_strings":["University of Shanghai for Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059000467","display_name":"Zhenying He","orcid":"https://orcid.org/0000-0002-2926-4814"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenying He","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391896","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-1717-5785"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004091362"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07224335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1122","last_page":"1130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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/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/T12292","display_name":"Graph Theory and Algorithms","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computation","display_name":"Computation","score":0.8695958852767944},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.7941826581954956},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.777707576751709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5601600408554077},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4500831961631775},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4093826711177826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3918417692184448},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33499258756637573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22011658549308777},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.061006516218185425}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.8695958852767944},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.7941826581954956},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.777707576751709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5601600408554077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4500831961631775},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4093826711177826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3918417692184448},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33499258756637573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22011658549308777},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.061006516218185425},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106426.3109447","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3109447","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web 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":17,"referenced_works":["https://openalex.org/W1892424763","https://openalex.org/W1970859146","https://openalex.org/W1995973731","https://openalex.org/W1996849720","https://openalex.org/W2005207065","https://openalex.org/W2055378546","https://openalex.org/W2063049279","https://openalex.org/W2069870183","https://openalex.org/W2081659778","https://openalex.org/W2099813268","https://openalex.org/W2103243299","https://openalex.org/W2117831564","https://openalex.org/W2151148646","https://openalex.org/W2152407760","https://openalex.org/W2159732209","https://openalex.org/W2556944587","https://openalex.org/W2568082647"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W2112835755","https://openalex.org/W4291951920","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2349674371","https://openalex.org/W2097495471","https://openalex.org/W2375480909","https://openalex.org/W2477549100"],"abstract_inverted_index":{"P-Rank":[0,26,61,75,155],"is":[1,28,105,133],"a":[2,88],"simple":[3],"and":[4,16,34,37,81,144],"captivating":[5],"link-based":[6],"similarity":[7,19,41,94,98,102,115],"measure":[8],"that":[9],"extends":[10],"SimRank":[11],"by":[12,66,86,112],"exploiting":[13],"both":[14],"in-":[15],"out-links":[17],"for":[18,59,90],"computation.":[20,99],"However,":[21],"the":[22,68,92,109,114,119,126,131,142,153],"existing":[23],"work":[24],"of":[25,32,70,146],"computation":[27,42,62,103,110,156],"expensive":[29],"in":[30,43,51,63],"terms":[31],"time":[33],"space":[35],"cost":[36,111],"cannot":[38],"efficiently":[39],"support":[40],"large":[44],"information":[45,64],"networks.":[46],"For":[47],"tackling":[48],"this":[49,52,84],"problem,":[50],"paper,":[53],"we":[54],"propose":[55],"an":[56],"optimization":[57],"technique":[58],"fast":[60],"networks":[65],"adopting":[67],"spiritual":[69],"partial":[71,79],"sums.":[72],"We":[73],"write":[74],"equation":[76,85],"based":[77],"on":[78],"sums":[80],"further":[82],"approximate":[83],"setting":[87],"threshold":[89,121,132],"ignoring":[91],"small":[93],"scores":[95,116],"during":[96,122],"iterative":[97],"An":[100],"optimized":[101],"algorithm":[104],"developed,":[106],"which":[107],"reduces":[108],"skipping":[113],"smaller":[117],"than":[118],"give":[120],"accumulation":[123],"operations.":[124],"And":[125],"accuracy":[127],"loss":[128],"estimation":[129],"under":[130],"given":[134],"through":[135,150],"extensive":[136],"mathematical":[137],"analysis.":[138],"Extensive":[139],"experiments":[140],"demonstrate":[141],"effectiveness":[143],"efficiency":[145],"our":[147],"proposed":[148],"approach":[149],"comparing":[151],"with":[152],"straightforward":[154],"algorithm.":[157]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}