{"id":"https://openalex.org/W3161541212","doi":"https://doi.org/10.1155/2021/4969233","title":"[Retracted] Audit Analysis of Abnormal Behavior of Social Security Fund Based on Adaptive Spectral Clustering Algorithm","display_name":"[Retracted] Audit Analysis of Abnormal Behavior of Social Security Fund Based on Adaptive Spectral Clustering Algorithm","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3161541212","doi":"https://doi.org/10.1155/2021/4969233","mag":"3161541212"},"language":"en","primary_location":{"id":"doi:10.1155/2021/4969233","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/4969233","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/4969233.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,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2021/4969233.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047015759","display_name":"Yan Wu","orcid":"https://orcid.org/0000-0003-4293-9430"},"institutions":[{"id":"https://openalex.org/I4210100953","display_name":"Xi'an University of Finance and Economics","ror":"https://ror.org/01b9y2p27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210100953"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wu","raw_affiliation_strings":["School of Business, Xi'an University of Finance and Economics, Shaanxi, Xi'an 710100, China"],"affiliations":[{"raw_affiliation_string":"School of Business, Xi'an University of Finance and Economics, Shaanxi, Xi'an 710100, China","institution_ids":["https://openalex.org/I4210100953"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101947956","display_name":"Yonghong Chen","orcid":"https://orcid.org/0000-0001-5312-1517"},"institutions":[{"id":"https://openalex.org/I4210100953","display_name":"Xi'an University of Finance and Economics","ror":"https://ror.org/01b9y2p27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210100953"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Chen","raw_affiliation_strings":["School of Public Administration, Xi'an University of Finance and Economics, Shaanxi, Xi'an 710061, China"],"affiliations":[{"raw_affiliation_string":"School of Public Administration, Xi'an University of Finance and Economics, Shaanxi, Xi'an 710061, China","institution_ids":["https://openalex.org/I4210100953"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059242689","display_name":"Wenhao Ling","orcid":"https://orcid.org/0000-0003-4827-1232"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhao Ling","raw_affiliation_strings":["Institute of Local Government and Societal Governance, Henan University, Kaifeng, Henan 475004, China"],"affiliations":[{"raw_affiliation_string":"Institute of Local Government and Societal Governance, Henan University, Kaifeng, Henan 475004, China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059242689"],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.6798,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74963073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.916700005531311,"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"}},"topics":[{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.916700005531311,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7015491724014282},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.6254439353942871},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6042404174804688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5847760438919067},{"id":"https://openalex.org/keywords/social-security","display_name":"Social security","score":0.5111201405525208},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42345431447029114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35493776202201843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28933387994766235},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.20850077271461487},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.16631275415420532},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1337619125843048}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7015491724014282},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.6254439353942871},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6042404174804688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5847760438919067},{"id":"https://openalex.org/C2777111884","wikidata":"https://www.wikidata.org/wiki/Q12002092","display_name":"Social security","level":2,"score":0.5111201405525208},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42345431447029114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35493776202201843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28933387994766235},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.20850077271461487},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.16631275415420532},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1337619125843048},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/4969233","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/4969233","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/4969233.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,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9d88a5e3be0b4a69a4efca6cdd9de6d3","is_oa":true,"landing_page_url":"https://doaj.org/article/9d88a5e3be0b4a69a4efca6cdd9de6d3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/4969233","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/4969233","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/4969233.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,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3161541212.pdf","grobid_xml":"https://content.openalex.org/works/W3161541212.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2559568760","https://openalex.org/W2588695369","https://openalex.org/W2608341641","https://openalex.org/W2709322920","https://openalex.org/W2740643007","https://openalex.org/W2751968371","https://openalex.org/W2752197020","https://openalex.org/W2765233579","https://openalex.org/W2789512303","https://openalex.org/W2790501791","https://openalex.org/W2791984915","https://openalex.org/W2804318406","https://openalex.org/W2805641755","https://openalex.org/W2895210058","https://openalex.org/W2900158046","https://openalex.org/W2903590249","https://openalex.org/W2905391650","https://openalex.org/W2942650656","https://openalex.org/W2945471423","https://openalex.org/W2945565734","https://openalex.org/W2950244530","https://openalex.org/W2962947748","https://openalex.org/W2963842279","https://openalex.org/W2979571639","https://openalex.org/W2999812257","https://openalex.org/W3035078642","https://openalex.org/W3046208935","https://openalex.org/W3046482539","https://openalex.org/W3093270589","https://openalex.org/W3117030923","https://openalex.org/W3121769020","https://openalex.org/W3130991482","https://openalex.org/W3135272619","https://openalex.org/W3141949679","https://openalex.org/W3142077573","https://openalex.org/W6741587593"],"related_works":["https://openalex.org/W2404937507","https://openalex.org/W3121186197","https://openalex.org/W2373849942","https://openalex.org/W151161666","https://openalex.org/W2030757640","https://openalex.org/W2118407572","https://openalex.org/W4298130764","https://openalex.org/W2071653420","https://openalex.org/W2804364458","https://openalex.org/W1482912984"],"abstract_inverted_index":{"Abnormal":[0],"behavior":[1,229],"detection":[2],"of":[3,34,49,70,128,140,160,169,172,180,193],"social":[4],"security":[5],"funds":[6],"is":[7,43,77,83,143,155,185,198],"a":[8,73],"method":[9],"to":[10,57,65,89,103,117,165,187,200],"analyze":[11],"large\u2010scale":[12],"data":[13,100,114,129],"and":[14,63,124,150,226],"find":[15],"abnormal":[16,228],"behavior.":[17],"Although":[18],"many":[19,27],"methods":[20],"based":[21],"on":[22,38,157],"spectral":[23,40,147,194,212],"clustering":[24,41,58,148,195,213,220],"have":[25],"achieved":[26],"good":[28],"results":[29,207],"in":[30,45,79],"the":[31,36,39,46,68,91,97,111,118,126,135,138,146,151,158,167,170,191,210,218],"practical":[32],"application":[33],"clustering,":[35,225],"research":[37],"algorithm":[42,184,196,214],"still":[44],"early":[47],"stage":[48],"development.":[50],"Many":[51],"existing":[52],"algorithms":[53],"are":[54],"very":[55],"sensitive":[56],"parameters,":[59,62],"especially":[60],"scale":[61],"need":[64],"manually":[66],"input":[67],"number":[69,171],"clustering.":[71,174],"Therefore,":[72],"density\u2010sensitive":[74],"similarity":[75],"measure":[76],"introduced":[78,144],"this":[80,95],"paper,":[81],"which":[82],"obtained":[84],"by":[85],"introducing":[86],"new":[87],"parameters":[88],"transform":[90],"Gaussian":[92],"function.":[93],"Under":[94],"metric,":[96],"distance":[98,112],"between":[99,113],"points":[101,115],"belonging":[102,116],"different":[104],"classes":[105],"will":[106,121,130],"be":[107,122,131],"effectively":[108,132],"amplified,":[109],"while":[110],"same":[119,136],"class":[120],"reduced,":[123],"finally,":[125],"distribution":[127],"clustered.":[133],"At":[134],"time,":[137],"idea":[139],"Eigen":[141],"gap":[142,153],"into":[145,202],"algorithm,":[149],"verified":[152],"sequence":[154],"constructed":[156],"basis":[159],"Laplace":[161],"matrix,":[162],"so":[163],"as":[164],"solve":[166],"problem":[168],"initial":[173,219],"The":[175,205],"strong":[176],"global":[177],"search":[178],"ability":[179],"artificial":[181],"bee":[182],"colony":[183],"used":[186],"make":[188],"up":[189],"for":[190],"shortcoming":[192],"that":[197,209],"easy":[199],"fall":[201],"local":[203],"optimal.":[204],"experimental":[206],"show":[208],"adaptive":[211],"can":[215],"better":[216],"identify":[217],"center,":[221],"perform":[222],"more":[223,230],"effective":[224],"detect":[227],"accurately.":[231]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-05-24T00:00:00"}
