This study presents a general framework for quantifying network advantage—i.e., the greater expected gains from a given network position over another—on the basis of a discrete choice model with connection intensity. Network advantage originates from the uncertainty of realizing gains from connections, which explains why agents benefit from an increasing number of connections when connections are substitutes. I demonstrate that network uncertainty affects the distribution of network gains