{"id":"https://openalex.org/W7083328609","doi":"https://doi.org/10.1109/tnse.2025.3614439","title":"A Sparse Transformer-Enhanced Graph Convolutional Model for Robust Node Importance Ranking in Complex Networks","display_name":"A Sparse Transformer-Enhanced Graph Convolutional Model for Robust Node Importance Ranking in Complex Networks","publication_year":2025,"publication_date":"2025-09-25","ids":{"openalex":"https://openalex.org/W7083328609","doi":"https://doi.org/10.1109/tnse.2025.3614439"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2025.3614439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3614439","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ru Huang","orcid":"https://orcid.org/0000-0001-7545-0987"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ru Huang","raw_affiliation_strings":["School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7545-0987","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shuo Zhou","orcid":"https://orcid.org/0009-0006-8896-2547"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Zhou","raw_affiliation_strings":["School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0006-8896-2547","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pengfei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Li","raw_affiliation_strings":["School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kun Yang","orcid":"https://orcid.org/0009-0001-8488-467X"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Yang","raw_affiliation_strings":["School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0001-8488-467X","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zijian Chen","orcid":"https://orcid.org/0000-0002-8502-4110"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Chen","raw_affiliation_strings":["Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8502-4110","affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianhua He","orcid":"https://orcid.org/0000-0002-5738-8507"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jianhua He","raw_affiliation_strings":["School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5738-8507","affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaoli Chu","orcid":"https://orcid.org/0000-0003-1863-6149"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaoli Chu","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1863-6149","affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhengbing Zhou","orcid":"https://orcid.org/0000-0001-8312-1892"},"institutions":[{"id":"https://openalex.org/I4210144482","display_name":"Shanghai Sixth People's Hospital","ror":"https://ror.org/049zrh188","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210144482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengbing Zhou","raw_affiliation_strings":["Shanghai Sixth People&#x0027;s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8312-1892","affiliations":[{"raw_affiliation_string":"Shanghai Sixth People&#x0027;s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China","institution_ids":["https://openalex.org/I4210144482"]}]},{"author_position":"last","author":{"id":null,"display_name":"Guangtao Zhai","orcid":"https://orcid.org/0000-0001-8165-9322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangtao Zhai","raw_affiliation_strings":["Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8165-9322","affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66489348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"2350","last_page":"2370"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6531000137329102,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6531000137329102,"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"}},{"id":"https://openalex.org/T13067","display_name":"Geological Modeling and Analysis","score":0.028300000354647636,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.01940000057220459,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6452999711036682},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.4641000032424927},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43950000405311584},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.36880001425743103},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.3569999933242798},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.349700003862381},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.3431999981403351},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.3402999937534332},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.3366999924182892}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810999751091003},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6452999711036682},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.4641000032424927},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4343000054359436},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.414000004529953},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.36880001425743103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3644999861717224},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35580000281333923},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.3431999981403351},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C123867240","wikidata":"https://www.wikidata.org/wiki/Q3001792","display_name":"Markov blanket","level":5,"score":0.2946000099182129},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2851000130176544},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25459998846054077},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2025.3614439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3614439","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1160404608","display_name":null,"funder_award_id":"YG2023LC06","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5106993878","display_name":"\u8d44\u6e90\u9a71\u52a8\u4e0b\u9762\u5411\u60c5\u666f\u9002\u5e94\u7684\u5f02\u6784\u5bb9\u5fcd\u578b\u4f20\u611f\u5668\u7f51\u7edc\u6297\u6bc1\u673a\u5236 \u7814\u7a76","funder_award_id":"20ZR1413800","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G580467504","display_name":null,"funder_award_id":"62322114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W75795297","https://openalex.org/W1970913835","https://openalex.org/W1971937094","https://openalex.org/W1994803330","https://openalex.org/W2008620264","https://openalex.org/W2010033398","https://openalex.org/W2013307517","https://openalex.org/W2025440555","https://openalex.org/W2030539428","https://openalex.org/W2035642982","https://openalex.org/W2040763707","https://openalex.org/W2056944867","https://openalex.org/W2066636486","https://openalex.org/W2087194317","https://openalex.org/W2091158010","https://openalex.org/W2101181377","https://openalex.org/W2112090702","https://openalex.org/W2128438887","https://openalex.org/W2133131640","https://openalex.org/W2152284345","https://openalex.org/W2155167324","https://openalex.org/W2168190036","https://openalex.org/W2402720608","https://openalex.org/W2743418339","https://openalex.org/W2796063520","https://openalex.org/W2914622179","https://openalex.org/W2948445876","https://openalex.org/W2958837457","https://openalex.org/W3003240653","https://openalex.org/W3011061054","https://openalex.org/W3014362800","https://openalex.org/W3044032010","https://openalex.org/W3136526008","https://openalex.org/W4210541032","https://openalex.org/W4220822815","https://openalex.org/W4220937924","https://openalex.org/W4229075624","https://openalex.org/W4306956355","https://openalex.org/W4312448508","https://openalex.org/W4385219598","https://openalex.org/W4385413320","https://openalex.org/W4385764380","https://openalex.org/W4385834817","https://openalex.org/W4386101171","https://openalex.org/W4388441499","https://openalex.org/W4390939312","https://openalex.org/W4391274956","https://openalex.org/W4391748561","https://openalex.org/W4392948297","https://openalex.org/W4393638644","https://openalex.org/W4394862821","https://openalex.org/W4396664834","https://openalex.org/W4399915662","https://openalex.org/W4400080877","https://openalex.org/W4400151404","https://openalex.org/W4400911223","https://openalex.org/W4402126587","https://openalex.org/W4402492641","https://openalex.org/W4403500811","https://openalex.org/W4403912405","https://openalex.org/W4404020952","https://openalex.org/W4404566467","https://openalex.org/W4404907296","https://openalex.org/W4406610708","https://openalex.org/W7103754706"],"related_works":[],"abstract_inverted_index":{"Identifying":[0],"and":[1,17,23,34,45,64,80,91,105,133,175,189,202],"ranking":[2,160],"influential":[3],"nodes":[4,195],"in":[5,13,43,159,196],"complex":[6,197],"networks":[7,132],"is":[8,122,127],"critical":[9,114],"for":[10,62,192],"broad":[11],"applications":[12],"social,":[14],"biological,":[15],"transportation,":[16],"other":[18],"infrastructure":[19],"systems.":[20],"Traditional":[21],"centrality-based":[22],"heuristic":[24],"methods":[25,158],"often":[26],"struggle":[27],"to":[28,36,85,108,136],"balance":[29],"computational":[30,110],"efficiency":[31],"with":[32],"accuracy":[33],"fail":[35],"capture":[37],"long-range":[38,115],"dependencies,":[39],"limiting":[40],"their":[41],"effectiveness":[42],"large-scale":[44],"heterogeneous":[46],"networks.":[47],"To":[48],"address":[49],"these":[50],"limitations,":[51],"we":[52],"propose":[53],"a":[54,72,101,118,187],"novel":[55],"Sparse":[56,77,97],"Transformer-based":[57],"Graph":[58,81],"Convolutional":[59,82],"Network":[60],"(STGCN)":[61],"robust":[63],"efficient":[65],"node":[66,180],"importance":[67],"ranking.":[68],"The":[69,183],"STGCN":[70,154],"integrates":[71],"hybrid":[73],"architecture":[74],"that":[75,153],"combines":[76],"Transformer":[78,98],"layers":[79,99],"Networks":[83],"(GCNs)":[84],"jointly":[86],"model":[87,126],"local":[88],"topological":[89],"features":[90],"global":[92],"structural":[93],"dependencies.":[94],"Specifically,":[95],"the":[96,125],"employ":[100],"stochastic":[102],"anchor":[103],"mechanism":[104],"masked":[106],"attention":[107],"reduce":[109],"complexity":[111],"while":[112],"preserving":[113],"interactions.":[116],"Additionally,":[117],"transfer":[119],"learning":[120],"strategy":[121],"introduced,":[123],"where":[124],"pre-trained":[128],"on":[129,148],"synthetic":[130],"Barab\u00e1si-Albert":[131],"then":[134],"transferred":[135],"real-world":[137,150],"graphs,":[138],"enhancing":[139,199],"generalization":[140],"across":[141],"diverse":[142],"network":[143,200],"topologies.":[144],"Extensive":[145],"experiments":[146],"conducted":[147],"15":[149],"datasets":[151],"demonstrate":[152],"significantly":[155],"outperforms":[156],"state-of-the-art":[157],"consistency,":[161],"achieving":[162],"an":[163],"average":[164],"Kendall's":[165],"Tau":[166],"correlation":[167],"coefficient":[168],"of":[169],"0.7832,":[170],"near-perfect":[171],"monotonicity":[172],"index":[173],"scores,":[174],"superior":[176],"top-<italic":[177],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[178],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">k</i>":[179],"identification":[181],"accuracy.":[182],"proposed":[184],"framework":[185],"provides":[186],"scalable":[188],"generalizable":[190],"solution":[191],"identifying":[193],"key":[194],"networks,":[198],"resilience":[201],"optimizing":[203],"information":[204],"dissemination.":[205]},"counts_by_year":[],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}