{"id":"https://openalex.org/W3093219665","doi":"https://doi.org/10.1109/tcns.2022.3163670","title":"Non-Bayesian Social Learning on Random Digraphs With Aperiodically Varying Network Connectivity","display_name":"Non-Bayesian Social Learning on Random Digraphs With Aperiodically Varying Network Connectivity","publication_year":2022,"publication_date":"2022-03-30","ids":{"openalex":"https://openalex.org/W3093219665","doi":"https://doi.org/10.1109/tcns.2022.3163670","mag":"3093219665"},"language":"en","primary_location":{"id":"doi:10.1109/tcns.2022.3163670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcns.2022.3163670","pdf_url":null,"source":{"id":"https://openalex.org/S2502544478","display_name":"IEEE Transactions on Control of Network Systems","issn_l":"2325-5870","issn":["2325-5870","2372-2533"],"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 Control of Network Systems","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":"https://openalex.org/A5037649994","display_name":"Rohit Parasnis","orcid":"https://orcid.org/0000-0002-6922-450X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rohit Parasnis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-6922-450X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075999338","display_name":"Massimo Franceschetti","orcid":"https://orcid.org/0000-0002-4057-8152"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Massimo Franceschetti","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-4057-8152","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036105299","display_name":"Behrouz Touri","orcid":"https://orcid.org/0000-0003-4724-7329"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behrouz Touri","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4724-7329","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":1.2203,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77427457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"9","issue":"3","first_page":"1202","last_page":"1214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9998999834060669,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9998999834060669,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987000226974487,"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/T11031","display_name":"Game Theory and Applications","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5820456743240356},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.46917158365249634},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4496132731437683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4374111294746399}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5820456743240356},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.46917158365249634},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4496132731437683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4374111294746399}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcns.2022.3163670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcns.2022.3163670","pdf_url":null,"source":{"id":"https://openalex.org/S2502544478","display_name":"IEEE Transactions on Control of Network Systems","issn_l":"2325-5870","issn":["2325-5870","2372-2533"],"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 Control of Network Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G6725545261","display_name":null,"funder_award_id":"ECCS-1913131","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1509523656","https://openalex.org/W1522371103","https://openalex.org/W1558006055","https://openalex.org/W1978009662","https://openalex.org/W1998692453","https://openalex.org/W2001357909","https://openalex.org/W2017903640","https://openalex.org/W2025658991","https://openalex.org/W2062747548","https://openalex.org/W2083890429","https://openalex.org/W2099111195","https://openalex.org/W2115733245","https://openalex.org/W2136102698","https://openalex.org/W2140950724","https://openalex.org/W2144408773","https://openalex.org/W2169826194","https://openalex.org/W2280386704","https://openalex.org/W2415906344","https://openalex.org/W2547331605","https://openalex.org/W2580802338","https://openalex.org/W2597098435","https://openalex.org/W2608734364","https://openalex.org/W2768476680","https://openalex.org/W2795226110","https://openalex.org/W2886383207","https://openalex.org/W2914597131","https://openalex.org/W2963118811","https://openalex.org/W2964212420","https://openalex.org/W2964257141","https://openalex.org/W3010440628","https://openalex.org/W3011261316","https://openalex.org/W3011904413","https://openalex.org/W3011951066","https://openalex.org/W3012054040","https://openalex.org/W3014378429","https://openalex.org/W3022273187","https://openalex.org/W3039471214","https://openalex.org/W3046109938","https://openalex.org/W3083024126","https://openalex.org/W3093219665","https://openalex.org/W3094118074","https://openalex.org/W3095570972","https://openalex.org/W3102646983","https://openalex.org/W3115063569","https://openalex.org/W3120433095","https://openalex.org/W3120892022","https://openalex.org/W3122816536","https://openalex.org/W3122995698","https://openalex.org/W3149959729","https://openalex.org/W4206790745","https://openalex.org/W4211192810","https://openalex.org/W4234078673","https://openalex.org/W4250134109"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"study":[4],"non-Bayesian":[5,120],"social":[6,136],"learning":[7,121,123,155],"on":[8,135],"random":[9],"directed":[10],"graphs":[11],"and":[12,122,126],"show":[13,64,140],"that":[14,57,65,76,141],"under":[15],"mild":[16],"connectivity":[17],"assumptions,":[18],"all":[19,77],"the":[20,25,29,35,38,78,89,110,113,130,143,161],"agents":[21],"almost":[22,85,157],"surely":[23,158],"learn":[24],"true":[26,90],"state":[27,91],"of":[28,37,54,101,106,112,132,145,163],"world":[30],"asymptotically":[31],"in":[32,149,160],"time":[33],"if":[34,142],"sequence":[36],"associated":[39],"weighted":[40],"adjacency":[41],"matrices":[42],"belongs":[43],"to":[44,82,109],"Class":[45],"<inline-formula":[46],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[47],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[48],"notation=\"LaTeX\">$\\mathcal":[49],"{P}^*$</tex-math></inline-formula>":[50],"(a":[51],"broad":[52],"class":[53],"stochastic":[55],"chains":[56],"subsumes":[58],"uniformly":[59],"strongly":[60],"connected":[61],"chains).":[62],"We":[63,95,138],"uniform":[66,164],"strong":[67,165],"connectivity,":[68],"while":[69],"being":[70],"unnecessary":[71],"for":[72],"asymptotic":[73,154],"learning,":[74],"ensures":[75],"agents\u2019":[79],"beliefs":[80],"converge":[81],"a":[83,98,150],"consensus":[84],"surely,":[86],"even":[87,159],"when":[88],"is":[92,147],"not":[93],"identifiable.":[94],"then":[96,153],"provide":[97],"few":[99],"corollaries":[100],"our":[102],"main":[103],"results,":[104],"some":[105],"which":[107],"apply":[108],"variants":[111],"original":[114],"update":[115],"rule,":[116],"such":[117],"as":[118],"inertial":[119],"via":[124],"diffusion":[125],"adaptation.":[127],"Others":[128],"include":[129],"extensions":[131],"known":[133],"results":[134],"learning.":[137],"also":[139],"network":[144],"influences":[146],"balanced":[148],"certain":[151],"sense,":[152],"occurs":[156],"absence":[162],"connectivity.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}