• Convergence/Consensus if and only if aperiodicity

  • Limiting influence related to eigenvectors and weights from influential neighbors

  • Wise crowds: nobody retains too much influence

Learning Models

  • Bayesian is computationally demanding in network settings

  • Restricted Bayesian gives consensus network not much of a role

  • DeGroot and other myopic models bring network into play

  • Can reach consensus, can be wise

  • Influence and speed are tractable...