{"id":"https://openalex.org/W2774298047","doi":"https://doi.org/10.3390/sym9120310","title":"Reconstructing Damaged Complex Networks Based on Neural Networks","display_name":"Reconstructing Damaged Complex Networks Based on Neural Networks","publication_year":2017,"publication_date":"2017-12-09","ids":{"openalex":"https://openalex.org/W2774298047","doi":"https://doi.org/10.3390/sym9120310","mag":"2774298047"},"language":"en","primary_location":{"id":"doi:10.3390/sym9120310","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym9120310","pdf_url":"https://www.mdpi.com/2073-8994/9/12/310/pdf?version=1512817798","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/2073-8994/9/12/310/pdf?version=1512817798","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100695122","display_name":"Ye Jin Lee","orcid":"https://orcid.org/0000-0002-7290-0265"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ye Lee","raw_affiliation_strings":["Department of Electronic and IT Media Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and IT Media Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064247136","display_name":"Insoo Sohn","orcid":"https://orcid.org/0000-0003-3616-6283"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Insoo Sohn","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064247136"],"corresponding_institution_ids":["https://openalex.org/I205490536"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.2147,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79326973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":"12","first_page":"310","last_page":"310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9976999759674072,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7935757637023926},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.658683180809021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5223019123077393},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.494578093290329},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.48628437519073486},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4683228135108948},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40526002645492554},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35982975363731384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10167032480239868}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7935757637023926},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.658683180809021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5223019123077393},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.494578093290329},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.48628437519073486},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4683228135108948},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40526002645492554},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35982975363731384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10167032480239868},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym9120310","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym9120310","pdf_url":"https://www.mdpi.com/2073-8994/9/12/310/pdf?version=1512817798","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:d03e17cb979842349d91464cf9aadcfa","is_oa":true,"landing_page_url":"https://doaj.org/article/d03e17cb979842349d91464cf9aadcfa","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":"Symmetry, Vol 9, Iss 12, p 310 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/9/12/310/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym9120310","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym9120310","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym9120310","pdf_url":"https://www.mdpi.com/2073-8994/9/12/310/pdf?version=1512817798","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":[{"id":"https://metadata.un.org/sdg/11","score":0.6399999856948853,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2774298047.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W155417673","https://openalex.org/W1549824996","https://openalex.org/W1572272766","https://openalex.org/W1850597386","https://openalex.org/W1967385589","https://openalex.org/W1968347878","https://openalex.org/W1989400610","https://openalex.org/W1994321911","https://openalex.org/W1995213405","https://openalex.org/W2008620264","https://openalex.org/W2011401040","https://openalex.org/W2018318414","https://openalex.org/W2020325243","https://openalex.org/W2077615632","https://openalex.org/W2087070363","https://openalex.org/W2102897151","https://openalex.org/W2112090702","https://openalex.org/W2124637492","https://openalex.org/W2129042888","https://openalex.org/W2144354855","https://openalex.org/W2150649057","https://openalex.org/W2156277924","https://openalex.org/W2157082398","https://openalex.org/W2581624716","https://openalex.org/W2614570116","https://openalex.org/W3099762530","https://openalex.org/W4234989302"],"related_works":["https://openalex.org/W1975289146","https://openalex.org/W2105887828","https://openalex.org/W2122599759","https://openalex.org/W4236520801","https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W1537234410","https://openalex.org/W2372764048"],"abstract_inverted_index":{"Despite":[0],"recent":[1],"progress":[2],"in":[3,82,90],"the":[4,29,61,74],"study":[5],"of":[6,10,36,63],"complex":[7],"systems,":[8],"reconstruction":[9,31,80],"damaged":[11],"networks":[12],"due":[13],"to":[14,60],"random":[15],"and":[16,86],"targeted":[17],"attack":[18],"has":[19],"not":[20],"been":[21],"addressed":[22],"before.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"formulate":[28],"network":[30,37,54,64,84,92],"problem":[32,62],"as":[33,57],"an":[34],"identification":[35],"structure":[38],"based":[39,49],"on":[40,50,67],"much":[41],"reduced":[42],"link":[43],"information.":[44],"Furthermore,":[45],"a":[46,58,87],"novel":[47],"method":[48],"multilayer":[51],"perceptron":[52],"neural":[53],"is":[55],"proposed":[56,75],"solution":[59],"reconstruction.":[65],"Based":[66],"simulation":[68],"results,":[69],"it":[70],"was":[71],"demonstrated":[72],"that":[73],"scheme":[76],"achieves":[77],"very":[78],"high":[79],"accuracy":[81],"small-world":[83],"model":[85],"robust":[88],"performance":[89],"scale-free":[91],"model.":[93]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
