{"id":"https://openalex.org/W7143453635","doi":"https://doi.org/10.1007/s43926-026-00319-5","title":"Evaluation of grassroots governance effectiveness based on deep learning and Bayesian networks","display_name":"Evaluation of grassroots governance effectiveness based on deep learning and Bayesian networks","publication_year":2026,"publication_date":"2026-03-30","ids":{"openalex":"https://openalex.org/W7143453635","doi":"https://doi.org/10.1007/s43926-026-00319-5"},"language":"en","primary_location":{"id":"doi:10.1007/s43926-026-00319-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-026-00319-5","pdf_url":null,"source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s43926-026-00319-5","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130987457","display_name":"Jingyi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117164","display_name":"Luoyang Normal University","ror":"https://ror.org/029man787","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117164"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyi Wang","raw_affiliation_strings":["Luoyang Normal University, Luoyang, 471934, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luoyang Normal University, Luoyang, 471934, Henan, China","institution_ids":["https://openalex.org/I4210117164"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5130987457"],"corresponding_institution_ids":["https://openalex.org/I4210117164"],"apc_list":{"value":1340,"currency":"USD","value_usd":1340},"apc_paid":{"value":1340,"currency":"USD","value_usd":1340},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30703011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10953","display_name":"E-Government and Public Services","score":0.23909999430179596,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10953","display_name":"E-Government and Public Services","score":0.23909999430179596,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11479","display_name":"Smart Cities and Technologies","score":0.04919999837875366,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10213","display_name":"Public Policy and Administration Research","score":0.038600001484155655,"subfield":{"id":"https://openalex.org/subfields/3321","display_name":"Public Administration"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grassroots","display_name":"Grassroots","score":0.861299991607666},{"id":"https://openalex.org/keywords/corporate-governance","display_name":"Corporate governance","score":0.5569999814033508},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5569999814033508},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.46129998564720154},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.44429999589920044},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.3806999921798706},{"id":"https://openalex.org/keywords/enabling","display_name":"Enabling","score":0.37880000472068787},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.3736000061035156},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3666999936103821}],"concepts":[{"id":"https://openalex.org/C2781188222","wikidata":"https://www.wikidata.org/wiki/Q929651","display_name":"Grassroots","level":3,"score":0.861299991607666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6557999849319458},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.640500009059906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.626800000667572},{"id":"https://openalex.org/C39389867","wikidata":"https://www.wikidata.org/wiki/Q380767","display_name":"Corporate governance","level":2,"score":0.5569999814033508},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5569999814033508},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.46129998564720154},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38850000500679016},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3806999921798706},{"id":"https://openalex.org/C22607594","wikidata":"https://www.wikidata.org/wiki/Q5375150","display_name":"Enabling","level":2,"score":0.37880000472068787},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.3736000061035156},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3560999929904938},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3328000009059906},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C2778969656","wikidata":"https://www.wikidata.org/wiki/Q7140449","display_name":"Participatory evaluation","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C2777705106","wikidata":"https://www.wikidata.org/wiki/Q5145837","display_name":"Collaborative governance","level":3,"score":0.30090001225471497},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.2847999930381775},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C196879817","wikidata":"https://www.wikidata.org/wiki/Q872685","display_name":"Data governance","level":4,"score":0.2777000069618225},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s43926-026-00319-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-026-00319-5","pdf_url":null,"source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5184b5900d5d4d43ad518968c34331fc","is_oa":false,"landing_page_url":"https://doaj.org/article/5184b5900d5d4d43ad518968c34331fc","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":"Discover Internet of Things, Vol 6, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s43926-026-00319-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-026-00319-5","pdf_url":null,"source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W3049455477","https://openalex.org/W3194635195","https://openalex.org/W4206107111","https://openalex.org/W4213428809","https://openalex.org/W4221037808","https://openalex.org/W4284886925","https://openalex.org/W4290043244","https://openalex.org/W4313259558","https://openalex.org/W4319333787","https://openalex.org/W4365131111","https://openalex.org/W4380853234","https://openalex.org/W4383750929","https://openalex.org/W4386432304","https://openalex.org/W4386975787","https://openalex.org/W4391167668","https://openalex.org/W4405855516","https://openalex.org/W4406057030","https://openalex.org/W4407010141","https://openalex.org/W4407304780","https://openalex.org/W4408575709","https://openalex.org/W4409174471","https://openalex.org/W4409884863","https://openalex.org/W4411804428","https://openalex.org/W4412846246","https://openalex.org/W4412878191","https://openalex.org/W4414514000","https://openalex.org/W4417449906","https://openalex.org/W7090210097","https://openalex.org/W7118933374"],"related_works":[],"abstract_inverted_index":{"Grassroots":[0],"governance":[1,41,72,129,153,167],"effectiveness":[2,42,171,174,199],"is":[3,69,116,175],"increasingly":[4],"important":[5],"as":[6],"local":[7],"administrations":[8],"adopt":[9],"data-driven":[10],"decision-making":[11],"to":[12,38,109,123,148,161,230],"address":[13],"complex":[14],"social":[15],"needs.":[16],"Conventional":[17],"evaluation":[18,33,236],"methods":[19],"are":[20,74,143,158],"limited":[21],"in":[22,152,192,234],"modeling":[23],"nonlinear":[24],"patterns":[25],"and":[26,47,85,105,112,183,190,200,206,210],"causal":[27,164],"relationships,":[28],"which":[29,142],"calls":[30],"for":[31],"intelligent":[32],"frameworks.":[34],"This":[35],"research":[36],"aims":[37],"evaluate":[39],"grassroots":[40,91,238],"using":[43,98,118],"advanced":[44],"deep":[45,224],"learning":[46,226],"Bayesian":[48,65,156],"network":[49],"methodologies.":[50],"To":[51],"achieve":[52],"this":[53],"objective,":[54],"a":[55,195,215],"novel":[56],"Modified":[57],"Sea-lion":[58],"Optimizer\u2013tuned":[59],"Deep":[60],"Long":[61],"Short-Term":[62],"Memory":[63],"with":[64,214,227],"Networks":[66],"(MSO-DLSTM-BN)":[67],"framework":[68,133],"proposed.":[70],"Multisource":[71],"data":[73,138],"gathered":[75],"from":[76],"administrative":[77,181],"records,":[78],"public":[79],"service":[80,179],"performance":[81,154],"reports,":[82],"socio-economic":[83],"indicators,":[84],"citizen":[86],"feedback":[87],"platforms":[88],"across":[89,177],"multiple":[90],"units.":[92],"Data":[93],"pre-processing":[94],"involves":[95],"noise":[96],"suppression":[97],"Savitzky\u2013Golay":[99],"filtering,":[100],"normalization":[101],"through":[102],"z-score":[103],"scaling,":[104],"missing":[106],"value":[107],"handling":[108],"ensure":[110],"consistency":[111],"reliability.":[113],"Feature":[114],"extraction":[115],"performed":[117],"Principal":[119],"Component":[120],"Analysis":[121],"(PCA)":[122],"reduce":[124],"dimensionality":[125],"while":[126],"preserving":[127],"dominant":[128],"patterns.":[130],"The":[131,186],"proposed":[132],"first":[134],"structures":[135],"the":[136,146,235],"processed":[137],"into":[139],"temporal":[140,225],"sequences,":[141],"learned":[144],"by":[145],"DLSTM":[147],"model":[149],"long-term":[150],"dependencies":[151],"trends.":[155],"networks":[157],"then":[159],"employed":[160],"represent":[162],"probabilistic":[163,228],"relationships":[165],"among":[166],"dimensions,":[168],"supporting":[169],"interpretable":[170],"reasoning.":[172],"Governance":[173],"evaluated":[176],"responsiveness,":[178],"equity,":[180],"coordination,":[182],"sustainability":[184],"dimensions.":[185],"MSO-DLSTM-BN":[187],"architecture":[188],"developed":[189],"tested":[191],"Python":[193],"has":[194],"high":[196],"level":[197],"of":[198,204,208,212,218,237],"provides":[201],"an":[202],"accuracy":[203],"0.97":[205],"precision":[207],"0.96":[209],"F1-score":[211],"0.95":[213],"prediction":[216],"time":[217],"2":[219],"s.":[220],"It":[221],"combines":[222],"optimized":[223],"inference":[229],"eliminate":[231],"it":[232],"effectively":[233],"governance.":[239]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-03-31T00:00:00"}