{"id":"https://openalex.org/W2397911065","doi":"https://doi.org/10.5220/0004825902130219","title":"Integrating Local Information-based Link Prediction Algorithms with OWA Operator","display_name":"Integrating Local Information-based Link Prediction Algorithms with OWA Operator","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2397911065","doi":"https://doi.org/10.5220/0004825902130219","mag":"2397911065"},"language":"en","primary_location":{"id":"doi:10.5220/0004825902130219","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004825902130219","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004825902130219","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103564043","display_name":"Simon James","orcid":"https://orcid.org/0000-0003-1150-0628"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"James N. K. Liu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076542236","display_name":"Yulin He","orcid":"https://orcid.org/0000-0002-3415-0686"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu-Lin He","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101190299","display_name":"Yanxing Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan-Xing Hu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073006299","display_name":"Xizhao Wang","orcid":"https://orcid.org/0000-0001-6036-4728"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xi-Zhao Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013373237","display_name":"Simon Shiu","orcid":"https://orcid.org/0000-0003-2813-3561"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simon C. K. Shiu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103564043"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23854771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9965000152587891,"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":0.9965000152587891,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9502999782562256,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.91839998960495,"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/computer-science","display_name":"Computer science","score":0.6941441297531128},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.6824989318847656},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5705269575119019},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4385635256767273},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39592403173446655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3299523591995239},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07441329956054688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941441297531128},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.6824989318847656},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5705269575119019},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4385635256767273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39592403173446655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3299523591995239},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07441329956054688},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004825902130219","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004825902130219","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0004825902130219","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004825902130219","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W1518185400","https://openalex.org/W3200586296","https://openalex.org/W4230332972","https://openalex.org/W1998033311","https://openalex.org/W4247322236","https://openalex.org/W4231165741","https://openalex.org/W233457313","https://openalex.org/W4295104149"],"abstract_inverted_index":{"The":[0,164],"objective":[1],"of":[2,61,67,70,78,81,102,114,123],"link":[3,15,29,142],"prediction":[4,30,143,179],"for":[5],"social":[6,46,170],"network":[7,47,171],"is":[8,147,182],"to":[9,37,104,110,119],"estimate":[10],"the":[11,45,55,59,65,76,100,111,125,185,188],"likelihood":[12],"that":[13,174],"a":[14,105,130],"exists":[16],"between":[17],"two":[18],"nodes":[19,71],"x":[20,62,72,82],"and":[21,41,63,73,75,83,108,128],"y.":[22,84],"There":[23],"are":[24,158],"some":[25],"well-known":[26],"local":[27,57,95,126],"information-based":[28],"algorithms":[31],"(LILPAs)":[32],"which":[33,157,181],"have":[34],"been":[35],"proposed":[36,148],"handle":[38],"this":[39],"essential":[40],"crucial":[42],"problem":[43],"in":[44,117,194],"analysis.":[48],"However,":[49],"they":[50],"can":[51,176],"not":[52,88],"adequately":[53],"consider":[54],"so-called":[56],"information:":[58],"degrees":[60,77],"y,":[64,74],"number":[66],"common":[68,79],"neighbors":[69,80],"In":[85],"other":[86],"words,":[87],"any":[89],"LILPA":[90,131],"takes":[91],"into":[92],"account":[93],"these":[94],"information":[96,127],"simultaneously.":[97],"This":[98],"limits":[99],"performances":[101],"LILPAs":[103,153],"certain":[106],"degree":[107],"leads":[109],"high":[112],"variability":[113],"LILPAs.":[115,199],"Thus,":[116],"order":[118],"make":[120],"full":[121],"use":[122],"all":[124],"obtain":[129,177],"with":[132,154,160,196],"highly-predicted":[133],"capability,":[134],"an":[135],"ordered":[136],"weighted":[137],"averaging":[138],"(OWA)":[139],"operator":[140],"based":[141],"ensemble":[144],"algorithm":[145],"(LPEOWA)":[146],"by":[149,184],"integrating":[150],"nine":[151,197],"different":[152],"aggregation":[155],"weights":[156],"determined":[159],"maximum":[161],"entropy":[162],"method.":[163],"final":[165],"experimental":[166],"results":[167],"on":[168],"benchmark":[169],"datasets":[172],"show":[173],"LPEOWA":[175],"higher":[178],"accuracies":[180],"measured":[183],"area":[186],"under":[187],"receiver":[189],"operating":[190],"characteristic":[191],"curve":[192],"(AUC)":[193],"comparison":[195],"individual":[198]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
