Research has repeatedly demonstrated the ability of social networks, interpersonal discussion, and perceived social norms to shape health-related outcomes. There are still substantial gaps, however, in understanding the theoretical mechanism that holds these components together, as well as the boundary conditions of their effects. Employing ego-network analysis with a representative sample of Illinois residents ( = 711) and focusing on the context of COVID-19 vaccine adherence, this study constructs a comprehensive framework to examine the direct, indirect, and conditional relationships linking social capital within networks, factual knowledge, and vaccination. Overall, the results point to the ability of tight-knit networks to influence knowledge and behavior for better or worse, depending on the composition of the network and its conversational valence. Theoretical and practical implications are discussed.
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| http://dx.doi.org/10.1080/10410236.2024.2321405 | DOI Listing |
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