The theory of loss aversion supplies predictions about network interaction when people face uncertain situations of loss or gain. It suggests that risk attitudes and behavior are based not only on the expected returns of a decision but also on where the decision outcome stands relative to a predetermined reference point in the mind of the decision maker (Kahneman and Tversky 1979; Tversky and Kahneman 1990). A core prediction is that the disutility associated with loss is greater than the utility associated with a gain of the same size. This empirical pattern applies not only to economic decisions but also to situations involving the gain or loss of intangible goods such as social standing. For example, people assign greater value to status when thinking about potential status loss than when considering potential status gain (Pettit, Yong, and Spataro 2010). The underlying mechanism is effort. People who stand to lose tangible resources or their status exert greater effort to avoid those losses than do people who believe they might gain tangible resources or status.