Abstract:
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In social epidemiology, research on 'neighborhood effects' often focuses on linking features of social contexts or exposures to health and developmental outcomes. Traditionally, individuals are anchored to a specific neighborhood, frequently operationalized by the census tract of residence. As a consequence, empirical analyses do not consider the variety of contexts to which individuals are exposed since a single administrative geographic unit, such as a census tract, typically does not contain the locations of all important activities in which individuals may engage throughout their normal daily routines. In order to better characterize the many social contexts to which individuals are exposed as a result of the spatially-distributed locations of their routine activities and to understand the consequences of these socio-spatial exposures, we have developed the concept of ecological networks. Ecological networks are two-mode networks that indirectly link individuals through the spatial overlap in their routine activities. This presentation focuses on statistical methodology for understanding the structure underlying ecological network. In particular, we propose a novel biline
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