The Influence “Paradox”: When More Network Ties Lead to Less Change

The diffusion of behaviors and ideas is a core concern in many fields and highly relevant to collective action and innovation adoption. A common assumption is that well-connected individuals within social networks are especially influential and so are good targets to initiate behavioral interventions. Here, we argue that the effectiveness of network-based targeting depends on how social ties are organized within a network. We theorize that there is a structural “network paradox”: when social ties are concentrated around a small number of well-connected individuals, a focus on targeting those individuals becomes less effective at generating broad diffusion. We further argue that this paradox is especially pronounced for behaviors that require high levels of social reinforcement to spread. We conducted a three-part study including theoretical analysis, empirical analysis based on a randomized field trial of health practices in Honduras, and simulations. Across all three studies, the results highlight the critical role of network structure in shaping diffusion dynamics under targeting protocols that privilege individuals with more ties. Such protocols may fail when those individuals are clustered together. Our findings have implications for understanding leadership and influence, innovation, public health and developmental economic interventions, and marketing.

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Publication Details

Journal
American Sociological Review
Published
2026-05-27
DOI
https://doi.org/10.1177/00031224261438845
Primary Topic
Community Health and Development
Type
article
Field-Weighted Citation Impact
0.00

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article

The Influence “Paradox”: When More Network Ties Lead to Less Change

Nicholas A. Christakis, Yuan Hsiao
American Sociological Review
Community Health and Development
article

The Influence “Paradox”: When More Network Ties Lead to Less Change

Nicholas A. Christakis, Yuan Hsiao
article en

Abstract

The diffusion of behaviors and ideas is a core concern in many fields and highly relevant to collective action and innovation adoption. A common assumption is that well-connected individuals within social networks are especially influential and so are good targets to initiate behavioral interventions. Here, we argue that the effectiveness of network-based targeting depends on how social ties are organized within a network. We theorize that there is a structural “network paradox”: when social ties are concentrated around a small number of well-connected individuals, a focus on targeting those individuals becomes less effective at generating broad diffusion. We further argue that this paradox is especially pronounced for behaviors that require high levels of social reinforcement to spread. We conducted a three-part study including theoretical analysis, empirical analysis based on a randomized field trial of health practices in Honduras, and simulations. Across all three studies, the results highlight the critical role of network structure in shaping diffusion dynamics under targeting protocols that privilege individuals with more ties. Such protocols may fail when those individuals are clustered together. Our findings have implications for understanding leadership and influence, innovation, public health and developmental economic interventions, and marketing.

American Sociological Review
Yale University (US)
Bill and Melinda Gates Foundation, National Institute on Aging
Openalex Percentile: Top 4%
Community Health and Development
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