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Motivated by the considerable influence of online \u201cBig Vs,\u201d we introduce a coupled vaccination\u2013epidemic coevolution model on scale-free networks. We incorporate a fraction \u03c1 of committed influencers who consistently advocate for vaccination, incorporating a trust-weighting parameter \u03b1 to quantify their social influence. Multi-agent simulations and heterogeneous mean-field theory demonstrate that strategic placement of influencers is vital: positioning committed influencers at high-degree nodes results in nearly comprehensive vaccination coverage and substantially suppresses outbreaks across a wide range of vaccination costs. Conversely, random placement proves less effective, and assigning influencers to low-degree nodes necessitates a significantly higher \u03c1 to manage epidemic outbreaks. These results underscore how influence filtered through trust and network heterogeneity can be exploited to develop resilient, resource-efficient vaccination strategies.<\/jats:p>","DOI":"10.1063\/5.0349658","type":"journal-article","created":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T12:53:26Z","timestamp":1787057606000},"update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":0,"title":["Coevolutionary vaccination dynamics driven by committed influencers on complex networks"],"prefix":"10.1063","volume":"36","author":[{"given":"Bing","family":"Xu","sequence":"first","affiliation":[{"name":"School of Statistics and Mathematics, Yunnan University of Finance and Economics 1 , Kunming, Yunnan 650221,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1774-1131","authenticated-orcid":false,"given":"Yikang","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Statistics and Mathematics, Yunnan University of Finance and Economics 1 , Kunming, Yunnan 650221,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2368-0515","authenticated-orcid":false,"given":"Jinxuan","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Statistics and Mathematics, Yunnan University of Finance and Economics 1 , Kunming, Yunnan 650221,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0813-4594","authenticated-orcid":false,"given":"Junpyo","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Applied Mathematics, College of Applied Sciences, Kyung Hee University 2 , Yongin 17104,","place":["Republic of Korea"]},{"name":"G-LAMP NEXUS Institute, Kyung Hee University 3 , Yougin 17104,","place":["Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"317","published-online":{"date-parts":[[2026,8,18]]},"reference":[{"key":"2026081808531999100_c1","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1038\/s41591-021-01301-0","article-title":"Vaccine development for emerging infectious diseases","volume":"27","year":"2021","journal-title":"Nat. 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