We experimentally investigate how players with opposing views compete for influence through strategic targeting in networks. We varied the network structure, the relative influence of the opponent, and the heterogeneity of the nodes' initial opinions. Although most players adopted a...

We develop a model of contests on networks. Each player is “connected” to a set of contests and exerts a single effort to increase the probability of winning each contest to which she is connected. We characterize equilibria under the Tullock contest success function and explore how behavior...