Speaker: Yuan Hsiao／Assistant Professor, Department of Sociology, Department of Statistics & Data Science (secondary), Institution for Social and Policy Studies (secondary), Yale University
Visiting Scholar, RCHSS, Academia Sinica (Jan–May 2026)

Time: Thursday, May 14, 2026, 2:00 PM

Venue: Conference Room I, Research Center for Humanities and Social Sciences, Academia Sinica

Hybrid Event
https://reurl.cc/pp82ma
No.: 2644 500 9203
Password: 0514

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.

Organizer: Center for Survey Research, RCHSS, Academia Sinica

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