{"id":"https://openalex.org/W2778891470","doi":"https://doi.org/10.1155/2017/8581365","title":"Connecting Patterns Inspire Link Prediction in Complex Networks","display_name":"Connecting Patterns Inspire Link Prediction in Complex Networks","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2778891470","doi":"https://doi.org/10.1155/2017/8581365","mag":"2778891470"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/8581365","pdf_url":"http://downloads.hindawi.com/journals/complexity/2017/8581365.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/complexity/2017/8581365.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023686661","display_name":"Mingyang Zhou","orcid":"https://orcid.org/0000-0001-5996-3395"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-Yang Zhou","raw_affiliation_strings":["Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091221734","display_name":"Hao Liao","orcid":"https://orcid.org/0000-0001-9152-4341"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Liao","raw_affiliation_strings":["Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020196234","display_name":"Wen-Man Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Man Xiong","raw_affiliation_strings":["Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101645046","display_name":"Xiangyang Wu","orcid":"https://orcid.org/0009-0003-2265-3993"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang-Yang Wu","raw_affiliation_strings":["Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012561932","display_name":"Zong-Wen Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zong-Wen Wei","raw_affiliation_strings":["Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5091221734"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300,"provenance":"doaj"},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300,"provenance":"doaj"},"fwci":1.524,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":21,"citation_normalized_percentile":{"value":0.86377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":"2017","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9954,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.995,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.8441453},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.7387928}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8441453},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.7387928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258028},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6297406},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.624578},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.56882286},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.554812},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4505537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43448144},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4116353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3907262},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.321527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18578672},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/8581365","pdf_url":"http://downloads.hindawi.com/journals/complexity/2017/8581365.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/df3069f34f77410cb6375ac8e7ef14b7","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":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/8581365","pdf_url":"http://downloads.hindawi.com/journals/complexity/2017/8581365.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"JCYJ20150731160834611"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"JCYJ20140418095735561"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"JCYJ20170302153955969"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"11547040"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"SGLH20131010163759789"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"JCYJ20150625101524056"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"JCYJ20150529164656096"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"2017A030310374"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61703281"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"JCYJ20150324140036842"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"2016A030313036"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"JCYJ20160520162743717"}],"datasets":[],"versions":[],"referenced_works_count":37,"referenced_works":["https://openalex.org/W1971040550","https://openalex.org/W1974430480","https://openalex.org/W1977382765","https://openalex.org/W1979104937","https://openalex.org/W1981130674","https://openalex.org/W1982901162","https://openalex.org/W2017102965","https://openalex.org/W2030808931","https://openalex.org/W2033150668","https://openalex.org/W2037705937","https://openalex.org/W2056299517","https://openalex.org/W2080105404","https://openalex.org/W2080996162","https://openalex.org/W2100508712","https://openalex.org/W2133167066","https://openalex.org/W2141014056","https://openalex.org/W2146591355","https://openalex.org/W2150649057","https://openalex.org/W2154039449","https://openalex.org/W2157082398","https://openalex.org/W2157825442","https://openalex.org/W2158546623","https://openalex.org/W2311710622","https://openalex.org/W2328893411","https://openalex.org/W2364865162","https://openalex.org/W2417010772","https://openalex.org/W2516294100","https://openalex.org/W2556349216","https://openalex.org/W2564084673","https://openalex.org/W2605057486","https://openalex.org/W3101427803","https://openalex.org/W3101630861","https://openalex.org/W3101784999","https://openalex.org/W3102590789","https://openalex.org/W3122956531","https://openalex.org/W4235571646","https://openalex.org/W630865572"],"related_works":["https://openalex.org/W4385270113","https://openalex.org/W4311620446","https://openalex.org/W4281631530","https://openalex.org/W3203830270","https://openalex.org/W2892165056","https://openalex.org/W2885508969","https://openalex.org/W2791966055","https://openalex.org/W2778891470","https://openalex.org/W2329809794","https://openalex.org/W1887183739"],"abstract_inverted_index":{"Link":[0],"prediction":[1],"uses":[2],"observed":[3],"data":[4],"to":[5,38,79,95],"predict":[6],"future":[7],"or":[8],"potential":[9],"relations":[10],"in":[11,44,126],"complex":[12,156],"networks.":[13,157],"An":[14],"underlying":[15],"hypothesis":[16],"is":[17,37],"that":[18,65,89,106,130],"two":[19,66,101],"nodes":[20,67],"have":[21,75],"a":[22,76,86],"high":[23,77],"likelihood":[24],"of":[25,51,55,100,109,152,155],"connecting":[26],"together":[27],"if":[28],"they":[29],"share":[30],"many":[31],"common":[32],"characteristics.":[33],"The":[34],"key":[35],"issue":[36],"develop":[39],"different":[40],"similarity-evaluating":[41],"approaches.":[42],"However,":[43],"this":[45],"paper,":[46],"by":[47,119],"characterizing":[48],"the":[49,52,97,136,153],"differences":[50],"similarity":[53,72,98,111],"scores":[54,73,99,112],"existing":[56],"and":[57],"nonexisting":[58],"links,":[59],"we":[60,83],"find":[61],"an":[62,91],"interesting":[63],"phenomenon":[64],"with":[68],"some":[69],"particular":[70],"low":[71,110],"also":[74,140],"probability":[78],"connect":[80],"together.":[81],"Thus,":[82],"put":[84],"forward":[85],"new":[87],"framework":[88,132],"utilizes":[90],"optimal":[92],"one-variable":[93],"function":[94],"adjust":[96],"nodes.":[102],"Theoretical":[103],"analysis":[104],"suggests":[105],"more":[107,142],"links":[108,144],"(long-range":[113],"links)":[114],"could":[115],"be":[116],"predicted":[117],"correctly":[118],"our":[120,131,150],"method":[121],"without":[122],"losing":[123],"accuracy.":[124],"Experiments":[125],"real":[127],"networks":[128],"reveal":[129],"not":[133],"only":[134],"enhances":[135],"precision":[137],"significantly":[138],"but":[139],"predicts":[141],"long-range":[143],"than":[145],"state-of-the-art":[146],"methods,":[147],"which":[148],"deepens":[149],"understanding":[151],"structure":[154]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2778891470","counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-01-03T13:23:07.153759","created_date":"2018-01-05"}