Social network targeting strategies can be used to improve the delivery and uptake of health interventions. We will enroll approximately 30,000 individuals into a randomized controlled trial of different targeting algorithms in order to explore how social network dynamics affect the uptake, diffusion, and group-level normative reinforcement of key neonatal and infant health behaviors and attitudes in 176 rural villages in the Copan region of Honduras. Our goal is to develop methods by which global health practitioners can exploit face-to-face social network interactions in order to maximize uptake of neonatal and infant health interventions. The villages will be randomly assigned to 16 cells of 11 villages each in a 2 x 8 factorial design of different targeting algorithms.