Published online by Cambridge University Press: 25 March 2019
Measuring networks in the field—usually by asking individuals systematically about their networks–entails complex design choices, with large consequences for the resulting data. Because observations in a network are interconnected, well-established practices from non-network survey settings can lead researchers astray. Despite the increasing focus on networks in political science, little guidance is available for researchers facing high-stakes decisions when designing a study to elicit networks. This paper serves as a practical guide. It offers a simple framework for constructing a network theory, illuminates tradeoffs like measuring more nodes versus more ties per node or asking for names versus selections from a list, and proposes a new technique for cleaning relational data.