Belief Control Strategies for Interactions Over Weakly-Connected Graphs

In diffusion social learning over weakly-connected graphs, it has been shown recently that influential agents shape the beliefs of non-influential agents. This paper analyzes this mechanism more closely and addresses two main questions. First, article examines how much freedom have in controlling receiving agents, namely, whether can be driven to arbitrary network structure limits scope control by Second, even if there is a limit what accomplish, develops mechanisms which they lead adopt certain beliefs. These questions raise interesting possibilities about belief networked Once addressed, one ends up with design procedures allow drive other endorse particular regardless their local observations or convictions. The theoretical findings are illustrated means examples.