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The research compares its approach with several recent methods, establishing a baseline for assessment. Additionally, the proposed methodology is implemented to construct a management system for affiliate marketing campaigns. Beyond determining potential influencers, this system effectively oversees influencers\u2019 impact on react-to-purchase conversion rates, contributing to a favorable return on investment in marketing campaigns employing the identified influencers.<\/jats:p>","DOI":"10.1007\/s40747-025-02070-w","type":"journal-article","created":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T07:53:36Z","timestamp":1756886016000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Personal brand value extraction method to identify micro-influencer for effective digital marketing"],"prefix":"10.1007","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8527-0602","authenticated-orcid":false,"given":"Hien D.","family":"Nguyen","sequence":"first","affiliation":[]},{"given":"Tai","family":"Huynh","sequence":"additional","affiliation":[]},{"given":"Quan M.","family":"Tran","sequence":"additional","affiliation":[]},{"given":"Hung Q.","family":"Ngo","sequence":"additional","affiliation":[]},{"given":"Vuong T.","family":"Pham","sequence":"additional","affiliation":[]},{"given":"Hung","family":"Nguyen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,3]]},"reference":[{"issue":"11","key":"2070_CR1","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/s13278-020-00719-7","volume":"11","author":"P Kumar","year":"2021","unstructured":"Kumar P, Sinha A (2021) Information diffusion modeling and analysis for socially interacting networks. 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