Multiplex Networks Provide Structural Pathways for Social Contagion in Rural Social Networks
Yongren Shi, Edo Airoldi, Nicholas A. Christakis

TL;DR
This study introduces a new metric called network torque to quantify how different layers of multiplex social networks facilitate behavioral diffusion, demonstrating that specific relationship types significantly enhance health practice adoption in rural communities.
Contribution
The paper presents a novel conceptual framework and statistical method to measure the contribution of each network layer to social contagion in multiplex networks.
Findings
Close friendships enable non-overlapping diffusion pathways.
Non-redundant ties increase health knowledge and attitudes.
Multiplex ties are crucial for social contagion in rural settings.
Abstract
Human social networks are inherently multiplex, comprising overlapping layers of relationships. Different layers may have distinct structural properties and interpersonal dynamics, but also may interact to form complex interdependent pathways for social contagion. This poses a fundamental problem in understanding behavioral diffusion and in devising effective network-based interventions. Here, we introduce a new conceptualization of how much each network layer contributes to critical contagion pathways and quantify it using a novel metric, network torque. We exploit data regarding sociocentric maps of 110 rural Honduran communities using a battery of 11 name generators and an experiment involving an exogenous intervention. Using a novel statistical framework, we assess the extent to which specific network layers alter global connectivity and support the spread of three experimentally…
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Taxonomy
TopicsCommunity Health and Development · Health disparities and outcomes · Complex Network Analysis Techniques
