The interpretation of consensus about the state of a node, or its capacity to perform a behavior, depends on the type of interactions constituting edges in the network.

We suggest and find that the consensus about this state predicts function. This result is strongest for the subordination signaling network, for which the mechanistic basis of consensus is best understood and the data strongly indicate that the subordination signals are not proxies for power but are direct measures of it.