{"id":"https://openalex.org/W3210139475","doi":"https://doi.org/10.1109/access.2021.3123114","title":"JacSim*: An Effective and Efficient Solution to the Pairwise Normalization Problem in SimRank","display_name":"JacSim*: An Effective and Efficient Solution to the Pairwise Normalization Problem in SimRank","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3210139475","doi":"https://doi.org/10.1109/access.2021.3123114","mag":"3210139475"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3123114","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3123114","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09585458.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09585458.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052464731","display_name":"Masoud Reyhani Hamedani","orcid":"https://orcid.org/0000-0003-1529-5473"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Masoud Reyhani Hamedani","raw_affiliation_strings":["Department of Computer Science, BK21PLUS Program for Advanced AI Research and Education, Hanyang University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1529-5473","affiliations":[{"raw_affiliation_string":"Department of Computer Science, BK21PLUS Program for Advanced AI Research and Education, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100656150","display_name":"Sang\u2010Wook Kim","orcid":"https://orcid.org/0000-0002-6345-9084"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Wook Kim","raw_affiliation_strings":["Department of Computer Science, Hanyang University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6345-9084","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4095,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6916236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"146038","last_page":"146049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.996999979019165,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.80018150806427},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7943446040153503},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7290536165237427},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5911480188369751},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.554737389087677},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4862583875656128},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.482523649930954},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.42064887285232544},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41295456886291504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3923552632331848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31344664096832275},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08342915773391724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80018150806427},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7943446040153503},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7290536165237427},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5911480188369751},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.554737389087677},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4862583875656128},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.482523649930954},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.42064887285232544},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41295456886291504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3923552632331848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31344664096832275},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08342915773391724},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3123114","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3123114","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09585458.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7f3ba4cca762476a8f546c2aebc4985b","is_oa":true,"landing_page_url":"https://doaj.org/article/7f3ba4cca762476a8f546c2aebc4985b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 146038-146049 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3123114","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3123114","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09585458.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3210139475.pdf","grobid_xml":"https://content.openalex.org/works/W3210139475.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W44499440","https://openalex.org/W842283414","https://openalex.org/W1506342804","https://openalex.org/W1509749270","https://openalex.org/W1532325895","https://openalex.org/W1545879303","https://openalex.org/W1780567500","https://openalex.org/W1995973731","https://openalex.org/W1996849720","https://openalex.org/W2007815473","https://openalex.org/W2011548984","https://openalex.org/W2021758280","https://openalex.org/W2022704179","https://openalex.org/W2039797165","https://openalex.org/W2063131624","https://openalex.org/W2068015060","https://openalex.org/W2083257370","https://openalex.org/W2117831564","https://openalex.org/W2140190241","https://openalex.org/W2152407760","https://openalex.org/W2158796406","https://openalex.org/W2191466049","https://openalex.org/W2568082647","https://openalex.org/W2610857016","https://openalex.org/W2624657645","https://openalex.org/W2743418339","https://openalex.org/W2788614083","https://openalex.org/W2942259124","https://openalex.org/W2963169753","https://openalex.org/W2997001386","https://openalex.org/W3046214831","https://openalex.org/W3082410713","https://openalex.org/W3098702884","https://openalex.org/W3116104192","https://openalex.org/W3132653141","https://openalex.org/W3136405090","https://openalex.org/W4213009331","https://openalex.org/W4291474301","https://openalex.org/W6655932363","https://openalex.org/W6746002097","https://openalex.org/W6762003241"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Despite":[0],"the":[1,74,83,123,147,161],"fact":[2],"that":[3,35,139],"SimRank":[4,34],"has":[5,92],"been":[6],"successfully":[7],"applied":[8],"to":[9,56,82,95,99,120],"various":[10],"applications":[11],"as":[12],"a":[13,20,24,30],"link-based":[14],"similarity":[15,68,76],"measure,":[16],"it":[17,91],"suffers":[18],"from":[19],"counter-intuitive":[21],"property":[22],"called":[23],"pairwise":[25],"normalization":[26],"problem;":[27],"JacSim":[28,51,66,145,165],"is":[29,151],"powerful":[31],"variant":[32],"of":[33,50,85,110,127,133,164],"effectively":[36,57],"solves":[37],"this":[38,41],"problem.":[39],"In":[40],"paper,":[42],"we":[43],"first":[44],"point":[45],"out":[46],"three":[47],"existing":[48],"drawbacks":[49],"and":[52,90,97,105,125,146,158],"then":[53],"propose":[54],"JacSim*":[55,60,128,140,148],"solve":[58],"them;":[59],"exploits":[61],"those":[62,109,132],"paths":[63],"neglected":[64],"by":[65],"in":[67,102,129],"computation,":[69],"its":[70,155],"matrix":[71,106,149],"form":[72,150,157],"provides":[73],"exact":[75],"scores":[77],"while":[78],"not":[79],"being":[80],"sensitive":[81],"number":[84],"node-pairs":[86],"with":[87,116,131,166],"common":[88],"neighbors,":[89],"simpler,":[93],"easier":[94,98],"understand,":[96],"implement":[100],"formulas":[101],"both":[103,122],"iterative":[104,156],"forms":[107,163],"than":[108,144,154,160],"JacSim.":[111,134],"We":[112],"conduct":[113],"extensive":[114],"experiments":[115],"eight":[117],"real-world":[118],"datasets":[119],"evaluate":[121],"accuracy":[124,143],"performance":[126],"comparison":[130],"Our":[135],"experimental":[136],"results":[137],"demonstrate":[138],"shows":[141],"better":[142],"dramatically":[152],"faster":[153],"also":[159],"two":[162],"all":[167],"datasets.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}