{"id":"https://openalex.org/W4392939470","doi":"https://doi.org/10.1109/tcss.2024.3354508","title":"Modeling Information Cocoons in Networked Populations: Insights From Backgrounds and Preferences","display_name":"Modeling Information Cocoons in Networked Populations: Insights From Backgrounds and Preferences","publication_year":2024,"publication_date":"2024-03-19","ids":{"openalex":"https://openalex.org/W4392939470","doi":"https://doi.org/10.1109/tcss.2024.3354508"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2024.3354508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3354508","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social 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/A5033955686","display_name":"Ming Gu","orcid":"https://orcid.org/0000-0003-0469-3601"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Gu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0469-3601","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080225526","display_name":"Tian-Fang Zhao","orcid":"https://orcid.org/0000-0002-3520-2951"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian-Fang Zhao","raw_affiliation_strings":["School of Journalism and Communication, Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3520-2951","affiliations":[{"raw_affiliation_string":"School of Journalism and Communication, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003769188","display_name":"Liang Yang","orcid":"https://orcid.org/0000-0001-6291-4359"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Yang","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6291-4359","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039590256","display_name":"Xiao-Kun Wu","orcid":"https://orcid.org/0000-0003-3843-0164"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Kun Wu","raw_affiliation_strings":["School of Journalism and Communication, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3843-0164","affiliations":[{"raw_affiliation_string":"School of Journalism and Communication, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050385116","display_name":"Wei\u2013Neng Chen","orcid":"https://orcid.org/0000-0003-0843-5802"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Neng Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0843-5802","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7385,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.95857574,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":"3","first_page":"4497","last_page":"4510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/population","display_name":"Population","score":0.4986557960510254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4836941361427307},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4773585796356201},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.46996021270751953},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.46781396865844727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19009190797805786},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15926042199134827},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1361486315727234},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.1147489845752716}],"concepts":[{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4986557960510254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4836941361427307},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4773585796356201},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.46996021270751953},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.46781396865844727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19009190797805786},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15926042199134827},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1361486315727234},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.1147489845752716},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2024.3354508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3354508","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G4927593179","display_name":null,"funder_award_id":"62206112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W350825880","https://openalex.org/W615621364","https://openalex.org/W1495750374","https://openalex.org/W1551911640","https://openalex.org/W1583059097","https://openalex.org/W1603672842","https://openalex.org/W1973778903","https://openalex.org/W1991306266","https://openalex.org/W1995875735","https://openalex.org/W2005766286","https://openalex.org/W2008620264","https://openalex.org/W2041157860","https://openalex.org/W2058105398","https://openalex.org/W2061820396","https://openalex.org/W2065769502","https://openalex.org/W2112090702","https://openalex.org/W2146162554","https://openalex.org/W2148301044","https://openalex.org/W2152284345","https://openalex.org/W2154393330","https://openalex.org/W2163179583","https://openalex.org/W2187996512","https://openalex.org/W2232384272","https://openalex.org/W2345368148","https://openalex.org/W2560734175","https://openalex.org/W2626714086","https://openalex.org/W2758364315","https://openalex.org/W2896302761","https://openalex.org/W2896659017","https://openalex.org/W2897838581","https://openalex.org/W2954152666","https://openalex.org/W2963184629","https://openalex.org/W2976859544","https://openalex.org/W3006194179","https://openalex.org/W3011133285","https://openalex.org/W3015660595","https://openalex.org/W3046144329","https://openalex.org/W3085984619","https://openalex.org/W3098175417","https://openalex.org/W3098958785","https://openalex.org/W3138082713","https://openalex.org/W3142570770","https://openalex.org/W3160227413","https://openalex.org/W3193636452","https://openalex.org/W3205330312","https://openalex.org/W4200007063","https://openalex.org/W4225284512","https://openalex.org/W4225510833","https://openalex.org/W4242285942","https://openalex.org/W4250134109","https://openalex.org/W4252973173","https://openalex.org/W4285197282","https://openalex.org/W4312375066","https://openalex.org/W4312423395","https://openalex.org/W4312717345","https://openalex.org/W4376481088","https://openalex.org/W4387366314","https://openalex.org/W6697195335"],"related_works":["https://openalex.org/W2061278088","https://openalex.org/W2075237332","https://openalex.org/W2163103544","https://openalex.org/W3039080452","https://openalex.org/W3033899355","https://openalex.org/W3025482071","https://openalex.org/W4210452449","https://openalex.org/W2921877942","https://openalex.org/W2055254734","https://openalex.org/W2889544313"],"abstract_inverted_index":{"The":[0],"formation":[1,95],"of":[2,17,48,96,102,125,134],"information":[3,49,58,71,97,103,126],"cocoons,":[4,98],"driven":[5],"by":[6,37,79],"limited":[7],"disclosure":[8],"and":[9,23,88,99,138],"individual":[10,86,109],"preferences,":[11],"has":[12],"resulted":[13],"in":[14,93],"the":[15,20,46,52,66,94,100,123,132],"polarization":[16],"society.":[18],"However,":[19],"underlying":[21],"mechanisms":[22],"pathways":[24],"to":[25,34,69,111,113,131],"escape":[26],"these":[27],"cocoons":[28,50],"remain":[29],"unresolved.":[30],"This":[31,128],"article":[32],"aims":[33],"solve":[35],"it":[36],"developing":[38],"an":[39,108],"adaptive":[40],"imitation":[41],"process.":[42],"In":[43],"this":[44],"process,":[45],"measurement":[47],"across":[51],"population":[53],"is":[54],"based":[55],"on":[56],"Shannon\u2019s":[57],"entropy,":[59],"taking":[60],"into":[61],"account":[62],"neighborhood":[63],"information.":[64],"Incorporating":[65],"Dirac":[67],"function":[68],"formulate":[70],"distribution":[72],"over":[73],"networks,":[74],"theoretical":[75],"results":[76],"are":[77,90],"validated":[78],"numerical":[80],"simulation":[81],"experiments.":[82],"Results":[83],"show":[84],"that":[85],"backgrounds":[87],"preferences":[89],"crucial":[91],"factors":[92],"severity":[101],"cocoon":[104],"production":[105],"increases":[106],"with":[107],"capacity":[110],"stick":[112],"oneself.":[114],"Encouraging":[115],"connections":[116],"among":[117],"diverse":[118],"communities":[119],"can":[120],"effectively":[121],"mitigate":[122],"intensity":[124],"cocoons.":[127],"research":[129],"contributes":[130],"advancement":[133],"computational":[135],"communication":[136],"systems":[137],"offers":[139],"insights":[140],"toward":[141],"dismantling":[142],"informational":[143],"boundaries.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
