{"id":"https://openalex.org/W2741069800","doi":"https://doi.org/10.1109/tnnls.2017.2726082","title":"Organizational Data Classification Based on the Importance Concept of Complex Networks","display_name":"Organizational Data Classification Based on the Importance Concept of Complex Networks","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2741069800","doi":"https://doi.org/10.1109/tnnls.2017.2726082","mag":"2741069800","pmid":"https://pubmed.ncbi.nlm.nih.gov/28783640"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2017.2726082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2017.2726082","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://dx.doi.org/10.1109/TNNLS.2017.2726082","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033849591","display_name":"Murillo G. Carneiro","orcid":"https://orcid.org/0000-0002-2915-8990"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Murillo Guimaraes Carneiro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697945","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0002-1502-6604"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6969,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.90352677,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"29","issue":"8","first_page":"3361","last_page":"3373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T13283","display_name":"Mental Health Research Topics","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7450141310691833},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6196675300598145},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6136910915374756},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.5216077566146851},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4775867462158203},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4732426106929779},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.46956944465637207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45330724120140076},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.44449836015701294},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4353894591331482},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.43195459246635437},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42462170124053955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3935083746910095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36822086572647095},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21181711554527283}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7450141310691833},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6196675300598145},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6136910915374756},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.5216077566146851},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4775867462158203},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4732426106929779},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.46956944465637207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45330724120140076},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.44449836015701294},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4353894591331482},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.43195459246635437},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42462170124053955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3935083746910095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36822086572647095},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21181711554527283},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2017.2726082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2017.2726082","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:28783640","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28783640","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:002913882","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/TNNLS.2017.2726082","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da USP (Biblioteca Digital da Produ\u00e7\u00e3o Intelectual)","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:002913882","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/TNNLS.2017.2726082","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da USP (Biblioteca Digital da Produ\u00e7\u00e3o Intelectual)","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1223058609","https://openalex.org/W1479807131","https://openalex.org/W1505191356","https://openalex.org/W1565746575","https://openalex.org/W1566447673","https://openalex.org/W1569512666","https://openalex.org/W1608412409","https://openalex.org/W1663973292","https://openalex.org/W1755360231","https://openalex.org/W1797580880","https://openalex.org/W1854214752","https://openalex.org/W1875112053","https://openalex.org/W1908728294","https://openalex.org/W1983010349","https://openalex.org/W1989241020","https://openalex.org/W1994476682","https://openalex.org/W2008620264","https://openalex.org/W2012776350","https://openalex.org/W2033381780","https://openalex.org/W2036120890","https://openalex.org/W2040800022","https://openalex.org/W2048679005","https://openalex.org/W2060464767","https://openalex.org/W2061849527","https://openalex.org/W2077551920","https://openalex.org/W2080897802","https://openalex.org/W2090540501","https://openalex.org/W2092868107","https://openalex.org/W2097308346","https://openalex.org/W2101234009","https://openalex.org/W2112090702","https://openalex.org/W2118258885","https://openalex.org/W2124637492","https://openalex.org/W2127048411","https://openalex.org/W2128804044","https://openalex.org/W2129934604","https://openalex.org/W2130502756","https://openalex.org/W2136504847","https://openalex.org/W2148606196","https://openalex.org/W2151470713","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2163308540","https://openalex.org/W2167482691","https://openalex.org/W2167973699","https://openalex.org/W2169223901","https://openalex.org/W2182722412","https://openalex.org/W2187089797","https://openalex.org/W2344925450","https://openalex.org/W2397800115","https://openalex.org/W2726539084","https://openalex.org/W2911964244","https://openalex.org/W2963090454","https://openalex.org/W3102641634","https://openalex.org/W3120740533","https://openalex.org/W3148981562","https://openalex.org/W4212863985","https://openalex.org/W4230674625","https://openalex.org/W4235072768","https://openalex.org/W4238452917","https://openalex.org/W6639055396","https://openalex.org/W6639917875","https://openalex.org/W6675354045","https://openalex.org/W6679446029","https://openalex.org/W6680140577"],"related_works":["https://openalex.org/W2106626222","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2125493559","https://openalex.org/W1544909909","https://openalex.org/W2002053721","https://openalex.org/W2001641889","https://openalex.org/W2991483587","https://openalex.org/W3116444723","https://openalex.org/W2187490799"],"abstract_inverted_index":{"Data":[0],"classification":[1,26,42,68,153],"is":[2,80,101,105,115],"a":[3,17,97,103,121,130,148,157],"common":[4],"task,":[5],"which":[6],"can":[7,22],"be":[8,23],"performed":[9],"by":[10,39,82,87],"both":[11],"computers":[12],"and":[13,111,140],"human":[14],"beings.":[15],"However,":[16],"fundamental":[18],"difference":[19],"between":[20],"them":[21],"observed:":[24],"computer-based":[25],"considers":[27],"only":[28,47],"physical":[29,48,139],"features":[30,142],"(e.g.,":[31],"similarity,":[32],"distance,":[33],"or":[34],"distribution)":[35],"of":[36,55,91,143,159,181],"input":[37,145],"data;":[38],"contrast,":[40],"brain-based":[41],"takes":[43],"into":[44,117],"account":[45],"not":[46],"features,":[49],"but":[50],"also":[51,128],"the":[52,63,83,92,112,118,138,144,152,163,171,179],"organizational":[53,65],"structure":[54,66],"data.":[56,75,146],"In":[57],"this":[58,125],"paper,":[59],"we":[60,127],"figure":[61],"out":[62],"data":[64,94,99,109,160],"for":[67,151],"using":[69,162],"complex":[70],"networks":[71],"constructed":[72,106],"from":[73,107],"training":[74],"Specifically,":[76],"an":[77],"unlabeled":[78],"instance":[79,100,114],"classified":[81],"importance":[84,165],"concept":[85],"characterized":[86],"Google's":[88],"PageRank":[89],"measure":[90],"underlying":[93],"networks.":[95],"Before":[96],"test":[98,113],"classified,":[102],"network":[104,119],"vector-based":[108],"set":[110],"inserted":[116],"in":[120],"proper":[122],"manner.":[123],"To":[124],"end,":[126],"propose":[129],"measure,":[131],"called":[132],"spatio-structural":[133],"differential":[134],"efficiency,":[135],"to":[136,155],"combine":[137],"topological":[141],"Such":[147],"method":[149],"allows":[150],"technique":[154,173],"capture":[156],"variety":[158],"patterns":[161],"unique":[164],"measure.":[166],"Extensive":[167],"experiments":[168],"demonstrate":[169],"that":[170],"proposed":[172],"has":[174],"promising":[175],"predictive":[176],"performance":[177],"on":[178],"detection":[180],"heart":[182],"abnormalities.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}