{"id":"https://openalex.org/W4367727905","doi":"https://doi.org/10.1109/access.2023.3272354","title":"A Novel Method for Estimating Accuracy of Network Structure Recovery Model","display_name":"A Novel Method for Estimating Accuracy of Network Structure Recovery Model","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4367727905","doi":"https://doi.org/10.1109/access.2023.3272354"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3272354","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3272354","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10114386.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":null,"license_id":null,"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/ielx7/6287639/10005208/10114386.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070449611","display_name":"Xue Zhang","orcid":"https://orcid.org/0000-0001-9513-6565"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Zhang","raw_affiliation_strings":["College of Mathematics and Physics, Wenzhou University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9513-6565","affiliations":[{"raw_affiliation_string":"College of Mathematics and Physics, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000520141","display_name":"Chuankui Yan","orcid":"https://orcid.org/0000-0002-2084-7060"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuankui Yan","raw_affiliation_strings":["College of Mathematics and Physics, Wenzhou University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2084-7060","affiliations":[{"raw_affiliation_string":"College of Mathematics and Physics, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I146620803"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04840578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"44234","last_page":"44243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9937999844551086,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.7256275415420532},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.723839521408081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.659935474395752},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5234655737876892},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.52237468957901},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5110601186752319},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5074407458305359},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.486102819442749},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3303028345108032},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30438706278800964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27849510312080383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22549572587013245}],"concepts":[{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.7256275415420532},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.723839521408081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659935474395752},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5234655737876892},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.52237468957901},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5110601186752319},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5074407458305359},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.486102819442749},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3303028345108032},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30438706278800964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27849510312080383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22549572587013245},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3272354","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3272354","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10114386.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:43527ed999c446eba33970f983c678f0","is_oa":true,"landing_page_url":"https://doaj.org/article/43527ed999c446eba33970f983c678f0","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 11, Pp 44234-44243 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3272354","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3272354","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10114386.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7849142317","display_name":null,"funder_award_id":"11502062","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367727905.pdf","grobid_xml":"https://content.openalex.org/works/W4367727905.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1645343793","https://openalex.org/W1817213042","https://openalex.org/W1997339397","https://openalex.org/W2001344462","https://openalex.org/W2013877794","https://openalex.org/W2040311844","https://openalex.org/W2046662198","https://openalex.org/W2049058758","https://openalex.org/W2065299852","https://openalex.org/W2068843099","https://openalex.org/W2070722739","https://openalex.org/W2081647150","https://openalex.org/W2084098300","https://openalex.org/W2097722513","https://openalex.org/W2110065044","https://openalex.org/W2120860969","https://openalex.org/W2123500593","https://openalex.org/W2125680629","https://openalex.org/W2129934604","https://openalex.org/W2138144286","https://openalex.org/W2142712325","https://openalex.org/W2144199228","https://openalex.org/W2162045672","https://openalex.org/W2162142896","https://openalex.org/W2299245650","https://openalex.org/W2475109240","https://openalex.org/W2615556757","https://openalex.org/W2790836661","https://openalex.org/W2937507957","https://openalex.org/W2943135252","https://openalex.org/W2997831639","https://openalex.org/W3098325012","https://openalex.org/W3101784999","https://openalex.org/W3107779952","https://openalex.org/W4231600579","https://openalex.org/W4286888877","https://openalex.org/W4289242582","https://openalex.org/W6677876294","https://openalex.org/W6697485203","https://openalex.org/W6756912424","https://openalex.org/W6761781411","https://openalex.org/W6785756702","https://openalex.org/W6803388931"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W3209204065","https://openalex.org/W1755711892","https://openalex.org/W2160907113","https://openalex.org/W2086397253","https://openalex.org/W2070813941","https://openalex.org/W2105707930","https://openalex.org/W3046510185"],"abstract_inverted_index":{"Many":[0],"practical":[1,27],"systems":[2],"can":[3,131,156],"be":[4],"considered":[5],"as":[6],"networks":[7],"of":[8,26,76,91,120,135,146,165,182,188],"nodes":[9],"interacting.":[10],"Explicit":[11],"network":[12,33,58,92,147],"topology":[13,34,59,148],"is":[14,25,65,80,85,97,128,149,160,168],"a":[15,53,112,153],"straightforward":[16],"method":[17,54,84,114,154,167],"to":[18,29,55],"understand":[19],"the":[20,31,36,42,45,57,61,72,77,83,104,117,121,124,133,144,163,166,180,186],"actual":[21],"system,":[22],"so":[23],"it":[24],"significance":[28],"obtain":[30],"complete":[32],"from":[35,60],"empirically":[37],"measured":[38,62],"time":[39,63],"series.":[40],"With":[41],"premise":[43],"that":[44,155,176],"dynamics":[46],"equations":[47],"and":[48,67,94,162,185],"coupling":[49],"matrix":[50,74,79],"are":[51,190],"known,":[52],"reconstruct":[56],"series":[64],"proposed,":[66,161],"based":[68],"on":[69],"regression":[70],"theory":[71],"estimated":[73],"form":[75],"adjacency":[78],"given.":[81],"Also,":[82],"suitable":[86],"for":[87,103,115],"predicting":[88],"arbitrary":[89],"weights":[90],"connections,":[93],"its":[95],"practicality":[96],"verified":[98,169],"by":[99,170],"numerical":[100,171],"simulations.":[101],"Importantly":[102],"<inline-formula":[105],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[107],"<tex-math":[108],"notation=\"LaTeX\">$0-1$":[109],"</tex-math></inline-formula>":[110],"matrix,":[111],"new":[113],"judging":[116],"prediction":[118,137],"performance":[119],"model":[122,136,178],"using":[123],"false":[125,158],"negative":[126],"rate":[127],"proposed.":[129],"It":[130],"estimate":[132],"accuracy":[134],"with":[138],"only":[139],"partial":[140],"sampling":[141],"data":[142,184],"when":[143],"information":[145],"unknown.":[150],"In":[151],"addition,":[152],"control":[157],"positives":[159],"feasibility":[164],"simulation.":[172],"Finally,":[173],"two":[174],"factors":[175],"affect":[177],"performance,":[179],"amount":[181],"sample":[183],"intensity":[187],"noise,":[189],"discussed.":[191]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}