1. A method, comprising: obtaining a set of attributes of a social network comprising a first member and a set of historic interactions in the social network; analyzing, by one or more computer systems, the attributes and the historic interactions to predict an effect of a potential interaction between the first member and a second member of the social network on subsequent interactions in the social network, wherein the predicted effect comprises a reduction in the subsequent interactions between the first member and members of the social network other than the second member; and using the predicted effect to generate output for modulating the subsequent interactions in the social network, wherein the output comprises a recommendation to interact with a member of the social network other than the second member.