{"id":"https://openalex.org/W2784089844","doi":"https://doi.org/10.1109/glocom.2017.8255079","title":"Modeling and Analysis of Uncertainty-Based False Information Propagation in Social Networks","display_name":"Modeling and Analysis of Uncertainty-Based False Information Propagation in Social Networks","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2784089844","doi":"https://doi.org/10.1109/glocom.2017.8255079","mag":"2784089844"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2017.8255079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2017.8255079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2017 - 2017 IEEE Global Communications Conference","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/A5011649304","display_name":"Jin-Hee Cho","orcid":"https://orcid.org/0000-0002-5908-4662"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin-Hee Cho","raw_affiliation_strings":["US Army Research Laboratory, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"US Army Research Laboratory, MD","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003414000","display_name":"Trevor L. Cook","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trevor Cook","raw_affiliation_strings":["US Army Research Laboratory, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"US Army Research Laboratory, MD","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022686852","display_name":"Scott Rager","orcid":"https://orcid.org/0000-0002-5625-9244"},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Rager","raw_affiliation_strings":["Raytheon BBN Technologies, Cambridge, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, MA","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060455398","display_name":"John O\u2019Donovan","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John O'Donovan","raw_affiliation_strings":["University of California, Santa Barbara, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, CA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033986205","display_name":"Sibel Adal\u0131","orcid":"https://orcid.org/0000-0003-2055-0694"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sibel Adali","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9921000003814697,"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/certainty","display_name":"Certainty","score":0.6253496408462524},{"id":"https://openalex.org/keywords/proposition","display_name":"Proposition","score":0.601306676864624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5292712450027466},{"id":"https://openalex.org/keywords/belief-structure","display_name":"Belief structure","score":0.46822047233581543},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.43654298782348633},{"id":"https://openalex.org/keywords/belief-revision","display_name":"Belief revision","score":0.42193859815597534},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3179685175418854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24849697947502136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18854066729545593}],"concepts":[{"id":"https://openalex.org/C7493553","wikidata":"https://www.wikidata.org/wiki/Q1520777","display_name":"Certainty","level":2,"score":0.6253496408462524},{"id":"https://openalex.org/C2777152325","wikidata":"https://www.wikidata.org/wiki/Q108163","display_name":"Proposition","level":2,"score":0.601306676864624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5292712450027466},{"id":"https://openalex.org/C44973800","wikidata":"https://www.wikidata.org/wiki/Q4882755","display_name":"Belief structure","level":2,"score":0.46822047233581543},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.43654298782348633},{"id":"https://openalex.org/C128913409","wikidata":"https://www.wikidata.org/wiki/Q3566063","display_name":"Belief revision","level":2,"score":0.42193859815597534},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3179685175418854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24849697947502136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18854066729545593},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2017.8255079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2017.8255079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2017 - 2017 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1875112053","https://openalex.org/W1938740620","https://openalex.org/W1995698352","https://openalex.org/W2007973924","https://openalex.org/W2046058958","https://openalex.org/W2060364385","https://openalex.org/W2076367080","https://openalex.org/W2078011332","https://openalex.org/W2098195044","https://openalex.org/W2110689325","https://openalex.org/W2139297408","https://openalex.org/W2159981908","https://openalex.org/W2169983130","https://openalex.org/W2293652414","https://openalex.org/W2488003928","https://openalex.org/W2811513716","https://openalex.org/W2953965357","https://openalex.org/W3122816536","https://openalex.org/W4238452917","https://openalex.org/W6683602473","https://openalex.org/W6685075701"],"related_works":["https://openalex.org/W4240076398","https://openalex.org/W136005757","https://openalex.org/W1482279626","https://openalex.org/W1982042951","https://openalex.org/W4381854641","https://openalex.org/W2761476827","https://openalex.org/W2120930510","https://openalex.org/W2169636436","https://openalex.org/W2513285642","https://openalex.org/W2073661072"],"abstract_inverted_index":{"To":[0],"stop":[1],"or":[2,58,95],"mitigate":[3,96],"the":[4,16,26,97,110,197,204,250,260],"dissemination":[5],"of":[6,19,28,52,99,113,155,175,206,252,270],"false":[7,29,59,100,222],"information":[8,101,105,184,223,234,258,272],"in":[9,56,85,116,150,196,211,232,244,256],"social":[10],"networks,":[11],"many":[12],"studies":[13],"have":[14,63],"investigated":[15],"minimum":[17],"number":[18,251],"seeding":[20],"nodes":[21],"required":[22],"to":[23,54,67,90,93,106,168,172,180,202],"significantly":[24,48,248],"reduce":[25],"impact":[27,98],"information.":[30,213],"Although":[31],"a":[32,44,131,153,230,245],"person's":[33],"confidence":[34],"level,":[35],"such":[36],"as":[37],"perceived":[38],"certainty,":[39],"and/or":[40],"prior":[41,219],"belief":[42,220,231],"towards":[43,229],"given":[45],"proposition":[46],"can":[47,224,247],"affect":[49],"their":[50,127,227],"decision":[51],"whether":[53],"believe":[55,210,255],"true":[57,104,212,233,242,257,271,275],"information,":[60,143],"these":[61],"topics":[62],"not":[64],"been":[65],"studied":[66],"date.":[68],"In":[69,109],"this":[70],"work,":[71],"we":[72],"propose":[73],"an":[74,83,114],"opinion":[75,84,115,191],"model":[76,201],"based":[77,129],"on":[78,130],"Subjective":[79],"Logic":[80],"(SL),":[81],"defining":[82],"belief,":[86],"disbelief,":[87],"and":[88,125,259],"uncertainty,":[89],"study":[91],"how":[92],"eradicate":[94],"by":[102,135,273],"propagating":[103],"counter":[107],"it.":[108],"current":[111],"form":[112],"SL,":[117,136],"when":[118],"two":[119],"agents":[120,208,253],"interact":[121],"with":[122,159,182,186],"each":[123,194],"other":[124],"update":[126],"opinions":[128],"consensus":[132],"operator":[133],"offered":[134],"uncertainty":[137],"continuously":[138],"reduces":[139],"whenever":[140],"any":[141],"new":[142],"even":[144,235],"conflicting":[145,183],"evidence,":[146],"is":[147,157,262],"received.":[148],"However,":[149],"reality,":[151],"if":[152],"body":[154],"evidence":[156],"conflicting,":[158],"equal":[160],"amounts":[161],"supporting":[162],"opposite":[163],"positions,":[164],"people":[165],"often":[166],"tend":[167],"be":[169],"confused,":[170],"leading":[171],"higher":[173],"level":[174],"uncertainty.":[176,187,238],"We":[177,188],"enhance":[178],"SL":[179],"deal":[181],"associated":[185],"map":[189],"agents'":[190,218],"composition":[192],"into":[193],"state":[195],"SIR":[198],"(Susceptible-Infected-":[199],"Recovered)":[200],"estimate":[203],"proportion":[205],"recovered":[207],"who":[209,254],"Our":[214],"results":[215],"show":[216],"that":[217],"unfavoring":[221],"help":[225],"guide":[226],"decisions":[228],"under":[236],"high":[237],"Further,":[239],"having":[240,266],"more":[241,263,267],"informers":[243],"network":[246],"increase":[249],"effect":[261],"pronounced":[264],"than":[265],"frequent":[268],"propagation":[269],"fewer":[274],"informers.":[276]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
