{"id":"https://openalex.org/W4385348942","doi":"https://doi.org/10.3390/sym15081492","title":"Integrating Node Importance and Network Topological Properties for Link Prediction in Complex Network","display_name":"Integrating Node Importance and Network Topological Properties for Link Prediction in Complex Network","publication_year":2023,"publication_date":"2023-07-27","ids":{"openalex":"https://openalex.org/W4385348942","doi":"https://doi.org/10.3390/sym15081492"},"language":"en","primary_location":{"id":"doi:10.3390/sym15081492","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15081492","pdf_url":"https://www.mdpi.com/2073-8994/15/8/1492/pdf?version=1690452001","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/15/8/1492/pdf?version=1690452001","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108331795","display_name":"Junxi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxi Zhu","raw_affiliation_strings":["School of Science, Xi\u2019an University of Technology, Xi\u2019an 710054, China","School of Science, Xi'an University of Technology, Xi'an 710054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Xi\u2019an University of Technology, Xi\u2019an 710054, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Science, Xi'an University of Technology, Xi'an 710054, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101975531","display_name":"Fang Dai","orcid":"https://orcid.org/0000-0003-1340-8892"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Dai","raw_affiliation_strings":["School of Science, Xi\u2019an University of Technology, Xi\u2019an 710054, China","School of Science, Xi'an University of Technology, Xi'an 710054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Xi\u2019an University of Technology, Xi\u2019an 710054, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Science, Xi'an University of Technology, Xi'an 710054, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329782","display_name":"Fengqun Zhao","orcid":"https://orcid.org/0000-0003-0312-6592"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengqun Zhao","raw_affiliation_strings":["School of Science, Xi\u2019an University of Technology, Xi\u2019an 710054, China","School of Science, Xi'an University of Technology, Xi'an 710054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Xi\u2019an University of Technology, Xi\u2019an 710054, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Science, Xi'an University of Technology, Xi'an 710054, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078819270","display_name":"Wenyan Guo","orcid":"https://orcid.org/0000-0003-4263-483X"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyan Guo","raw_affiliation_strings":["School of Science, Xi\u2019an University of Technology, Xi\u2019an 710054, China","School of Science, Xi'an University of Technology, Xi'an 710054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Xi\u2019an University of Technology, Xi\u2019an 710054, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Science, Xi'an University of Technology, Xi'an 710054, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101975531"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.1196,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75822513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"15","issue":"8","first_page":"1492","last_page":"1492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9966999888420105,"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/T13283","display_name":"Mental Health Research Topics","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.8788288831710815},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6840124130249023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6250474452972412},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.6209424138069153},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.6198052763938904},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5137020349502563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4961017072200775},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49446606636047363},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.49378690123558044},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.4696430563926697},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.46349263191223145},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44553637504577637},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4220581650733948},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.4189508855342865},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3859517574310303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29099562764167786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2740156054496765},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23108255863189697}],"concepts":[{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.8788288831710815},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6840124130249023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6250474452972412},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.6209424138069153},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.6198052763938904},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5137020349502563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4961017072200775},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49446606636047363},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.49378690123558044},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.4696430563926697},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.46349263191223145},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44553637504577637},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4220581650733948},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.4189508855342865},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3859517574310303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29099562764167786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2740156054496765},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23108255863189697},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym15081492","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15081492","pdf_url":"https://www.mdpi.com/2073-8994/15/8/1492/pdf?version=1690452001","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e7b8815974164b49b867eb96700a194b","is_oa":false,"landing_page_url":"https://doaj.org/article/e7b8815974164b49b867eb96700a194b","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 15, Iss 8, p 1492 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/15/8/1492/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym15081492","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry; Volume 15; Issue 8; Pages: 1492","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym15081492","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15081492","pdf_url":"https://www.mdpi.com/2073-8994/15/8/1492/pdf?version=1690452001","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8406073343","display_name":null,"funder_award_id":"61976176","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385348942.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1564354600","https://openalex.org/W1833321569","https://openalex.org/W2007444087","https://openalex.org/W2026030034","https://openalex.org/W2026417691","https://openalex.org/W2039688703","https://openalex.org/W2066636486","https://openalex.org/W2154454189","https://openalex.org/W2157082398","https://openalex.org/W2600723715","https://openalex.org/W2734601503","https://openalex.org/W2773359160","https://openalex.org/W2800591476","https://openalex.org/W2900941345","https://openalex.org/W2963512530","https://openalex.org/W2970151282","https://openalex.org/W3125626040","https://openalex.org/W3169503991","https://openalex.org/W4213080281","https://openalex.org/W4284898835","https://openalex.org/W6656807929"],"related_works":["https://openalex.org/W2002495609","https://openalex.org/W2195864695","https://openalex.org/W2498207809","https://openalex.org/W1954735964","https://openalex.org/W3037013787","https://openalex.org/W2626653991","https://openalex.org/W2021654076","https://openalex.org/W4377985830","https://openalex.org/W2088831353","https://openalex.org/W4250615168"],"abstract_inverted_index":{"Link":[0],"prediction":[1,97,126,171,228],"is":[2,109,120,177],"one":[3],"of":[4,21,50,56,62,73,101,116,134,141,173,205,213,217,223,230],"the":[5,19,26,30,37,48,60,71,81,88,114,117,123,131,138,142,145,150,154,157,164,170,174,180,196,201,211,214,227],"most":[6],"important":[7],"and":[8,41,84,103,156,191,203,208,220],"challenging":[9],"tasks":[10],"in":[11,29,36,111,122,149,179],"complex":[12],"network":[13,92,104,135],"analysis,":[14],"which":[15,78],"aims":[16],"to":[17,65,128,225],"predict":[18],"existence":[20,64],"unknown":[22],"links":[23],"based":[24],"on":[25,76,91,185],"known":[27],"information":[28],"network.":[31],"As":[32],"critical":[33],"topological":[34,105],"properties":[35],"network,":[38],"node\u2019s":[39],"degree":[40,82,215],"clustering":[42],"coefficient":[43],"are":[44,160],"well-suited":[45],"for":[46],"describing":[47],"tightness":[49],"connection":[51],"between":[52],"nodes.":[53,136],"The":[54],"importance":[55,100,212],"node":[57,102,218],"can":[58],"affect":[59],"possibility":[61],"link":[63,93,96,125,231],"a":[66],"certain":[67],"extent.":[68],"By":[69,183],"analyzing":[70],"impact":[72],"different":[74,189],"centrality":[75,83,86,216,222],"links,":[77],"concluded":[79],"that":[80,200],"proximity":[85,221],"have":[87],"greatest":[89],"influence":[90],"prediction.":[94,232],"A":[95],"algorithm":[98,127,176],"combines":[99],"properties,":[106],"called":[107],"DCCLP,":[108],"proposed":[110],"this":[112],"paper,":[113],"symmetry":[115],"adjacency":[118],"matrix":[119],"considered":[121],"DCCLP":[124,143,175,206],"further":[129,209],"describe":[130],"structural":[132],"similarity":[133],"In":[137],"training":[139,151],"phase":[140],"algorithm,":[144,207],"maximized":[146],"AUC":[147],"indicator":[148],"set":[152],"as":[153],"objective,":[155],"optimal":[158],"parameters":[159],"estimated":[161],"by":[162],"utilizing":[163],"White":[165],"Shark":[166],"Optimization":[167],"algorithm.":[168],"Then":[169],"accuracy":[172,229],"evaluated":[178],"test":[181],"set.":[182],"experimenting":[184],"twenty-one":[186],"networks":[187],"with":[188,193],"scales,":[190],"comparing":[192],"existing":[194],"algorithms,":[195],"experimental":[197],"results":[198],"show":[199],"effectiveness":[202],"feasibility":[204],"illustrate":[210],"pairs":[219],"nodes":[224],"improve":[226]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2023-07-29T00:00:00"}