{"id":"https://openalex.org/W4411086474","doi":"https://doi.org/10.1109/tnse.2025.3577195","title":"The Impact of Competitive Opinion on Epidemic Spreading and Its Applications","display_name":"The Impact of Competitive Opinion on Epidemic Spreading and Its Applications","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411086474","doi":"https://doi.org/10.1109/tnse.2025.3577195"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2025.3577195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3577195","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":"https://openalex.org/A5115593750","display_name":"Qingsong Liu","orcid":"https://orcid.org/0000-0003-1979-8107"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingsong Liu","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018663122","display_name":"Guangjie Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjie Wang","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5115593750"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":4.2825,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94196524,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.7713000178337097,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.7713000178337097,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.7558000087738037,"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"}},{"id":"https://openalex.org/T13718","display_name":"Media Influence and Politics","score":0.754800021648407,"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/computer-science","display_name":"Computer science","score":0.509388267993927},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3524646759033203},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2424754798412323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.509388267993927},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3524646759033203},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2424754798412323}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2025.3577195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3577195","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":[{"id":"https://metadata.un.org/sdg/3","score":0.5899999737739563,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W203306178","https://openalex.org/W1967509640","https://openalex.org/W1975722775","https://openalex.org/W1985782993","https://openalex.org/W2005504141","https://openalex.org/W2056246443","https://openalex.org/W2114930814","https://openalex.org/W2143523119","https://openalex.org/W2294347342","https://openalex.org/W2318482344","https://openalex.org/W2484117929","https://openalex.org/W2534090929","https://openalex.org/W2569392019","https://openalex.org/W2570332451","https://openalex.org/W2584686170","https://openalex.org/W2729026193","https://openalex.org/W2907223246","https://openalex.org/W2963486284","https://openalex.org/W3007160332","https://openalex.org/W3032971139","https://openalex.org/W3033201346","https://openalex.org/W3035235874","https://openalex.org/W3092254137","https://openalex.org/W3102107228","https://openalex.org/W3105663889","https://openalex.org/W3152723078","https://openalex.org/W3155470693","https://openalex.org/W3156051815","https://openalex.org/W3209999679","https://openalex.org/W4210585158","https://openalex.org/W4210665256","https://openalex.org/W4211024777","https://openalex.org/W4226341599","https://openalex.org/W4250134109","https://openalex.org/W4285090362","https://openalex.org/W4312523413","https://openalex.org/W4321483882","https://openalex.org/W4361304370","https://openalex.org/W4367281958","https://openalex.org/W4367721747","https://openalex.org/W4391395967","https://openalex.org/W4394841688","https://openalex.org/W4400905791"],"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":{"The":[0],"community's":[1],"opinion":[2,61,92],"on":[3,35,62,113,122,130,151,178],"epidemics":[4,36],"has":[5],"played":[6],"an":[7,40],"important":[8],"role":[9],"in":[10,88,153],"government":[11],"departments":[12],"controlling":[13],"the":[14,22,30,56,59,63,67,78,91,98,105,110,114,118,123,138,145,148,170],"spread":[15],"of":[16,21,32,58,80,90,109,117,133,147],"infectious":[17],"diseases.":[18],"However,":[19],"one":[20],"most":[23],"effective":[24,41],"ways":[25],"to":[26,38,54,143],"analyze":[27],"and":[28,72,83,160],"understand":[29],"impact":[31,57,177],"community":[33,119],"opinions":[34],"is":[37,102,166],"establish":[39],"mathematical":[42],"model.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47,136],"propose":[48],"a":[49,127,131,174],"nonlinear":[50,140],"discrete-time":[51],"dynamics":[52],"model":[53,142],"investigate":[55],"competitive":[60,73],"epidemic":[64,111],"spreading.":[65],"For":[66],"social":[68],"network":[69,159],"with":[70],"cooperative":[71],"interactions,":[74],"sufficient":[75],"conditions":[76],"guaranteeing":[77],"stability":[79],"healthy":[81],"equilibrium":[82,85],"unhealthy":[84],"are":[86],"obtained":[87],"terms":[89],"based":[93],"reproduction":[94],"number.":[95],"By":[96],"introducing":[97],"stubborn":[99],"community,":[100],"it":[101],"revealed":[103],"that":[104,169],"disappearance":[106],"or":[107],"coexistence":[108],"depends":[112],"initial":[115],"level":[116],"infection.":[120,180],"Based":[121],"real":[124],"data":[125],"from":[126],"survey":[128],"conducted":[129],"sample":[132],"U.S.":[134],"residents,":[135],"employ":[137],"proposed":[139],"epidemic-opinion":[141],"explore":[144],"impacts":[146],"non-pharmaceutical":[149],"interventions":[150,172],"COVID-19":[152],"human":[154],"contact":[155],"network,":[156,163],"region":[157],"traveling":[158],"Chicago":[161],"transportation":[162],"respectively.":[164],"It":[165],"further":[167],"validated":[168],"non-pharmacological":[171],"have":[173],"significant":[175],"positive":[176],"reducing":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
