{"id":"https://openalex.org/W2095103737","doi":"https://doi.org/10.1109/iscas.2013.6572338","title":"Social learning with bounded confidence and probabilistic neighbors","display_name":"Social learning with bounded confidence and probabilistic neighbors","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2095103737","doi":"https://doi.org/10.1109/iscas.2013.6572338","mag":"2095103737"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2013.6572338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2013.6572338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101602810","display_name":"Qipeng Liu","orcid":"https://orcid.org/0000-0002-4230-2002"},"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":"Qipeng Liu","raw_affiliation_strings":["Department of Automation, Key Laboratory of System Control and Information Processing,  Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, China","[Department of Automation, Shanghai Jiao Tong University, Shanghai, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Key Laboratory of System Control and Information Processing,  Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Department of Automation, Shanghai Jiao Tong University, Shanghai, China.]","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100718391","display_name":"Xiaofan Wang","orcid":"https://orcid.org/0000-0003-0295-2462"},"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":"Xiaofan Wang","raw_affiliation_strings":["Department of Automation, Key Laboratory of System Control and Information Processing,  Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, China","[Department of Automation, Shanghai Jiao Tong University, Shanghai, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Key Laboratory of System Control and Information Processing,  Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Department of Automation, Shanghai Jiao Tong University, Shanghai, China.]","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.5534,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66231796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2303","last_page":"2306"},"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/T11031","display_name":"Game Theory and Applications","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.830400824546814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6075899600982666},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5903682708740234},{"id":"https://openalex.org/keywords/social-learning","display_name":"Social learning","score":0.5617616772651672},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5606703758239746},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5316966772079468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49484461545944214},{"id":"https://openalex.org/keywords/social-group","display_name":"Social group","score":0.47462689876556396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3928282856941223},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.35835349559783936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2815541625022888},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.25061893463134766},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.1370181143283844}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.830400824546814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6075899600982666},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5903682708740234},{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.5617616772651672},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5606703758239746},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5316966772079468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49484461545944214},{"id":"https://openalex.org/C180872759","wikidata":"https://www.wikidata.org/wiki/Q874405","display_name":"Social group","level":2,"score":0.47462689876556396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3928282856941223},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35835349559783936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2815541625022888},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.25061893463134766},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.1370181143283844},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2013.6572338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2013.6572338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1565704283","https://openalex.org/W1572272766","https://openalex.org/W2099589402","https://openalex.org/W2109469951","https://openalex.org/W2111238303","https://openalex.org/W2112090702","https://openalex.org/W2113096089","https://openalex.org/W2124297048","https://openalex.org/W2169826194","https://openalex.org/W3015469787"],"related_works":["https://openalex.org/W3013085049","https://openalex.org/W1560496689","https://openalex.org/W1992739770","https://openalex.org/W4386900933","https://openalex.org/W2943623134","https://openalex.org/W2494523064","https://openalex.org/W4229058035","https://openalex.org/W2588219639","https://openalex.org/W3125672081","https://openalex.org/W2165316214"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"a":[3],"social":[4,109],"learning":[5],"model,":[6],"in":[7],"which":[8,99],"each":[9],"individuals'":[10],"neighbors":[11,91],"are":[12],"composed":[13],"by":[14,41,73],"two":[15],"parts:":[16],"one":[17],"consists":[18,27],"of":[19,28,55,58,84,105],"those":[20,29,77],"who":[21],"have":[22],"similar":[23,79],"beliefs;":[24],"the":[25,43,56,65,93,103],"other":[26],"picked":[30],"up":[31],"according":[32],"to":[33],"certain":[34],"probabilities.":[35],"Each":[36],"individual":[37],"updates":[38],"her":[39,49,59],"beliefs":[40,46,57,106],"combining":[42],"Bayesian":[44],"posterior":[45],"based":[47],"on":[48],"private":[50],"signals":[51],"and":[52],"weighted":[53],"averages":[54],"neighbors.":[60],"It":[61],"is":[62,86],"shown":[63],"that":[64],"whole":[66,94],"group":[67,95],"may":[68,107],"be":[69],"divided":[70],"into":[71],"clusters":[72],"only":[74],"communicating":[75,101],"with":[76],"having":[78],"beliefs,":[80],"especially":[81],"when":[82],"bound":[83],"confidence":[85],"relatively":[87],"small.":[88],"Adding":[89],"probabilistic":[90],"guarantees":[92],"achieving":[96],"consensus":[97],"effectively,":[98],"means":[100],"beyond":[102],"difference":[104],"improve":[108],"learning.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}