An alternative approach to studying the emergence of spontaneous consensus—that avoids many of the unnatural or overly constrained assumptions of game theoretic models—is the use of network based methods and social network analysis (SNA). These SNA models are theoretically grounded in the communication mechanism of facilitating consensus and describe its emergence through the information propagation processes of the network (behavioral contagion). Through the spread of influence (and ideas) between agents participating in the consensus, local and global consensus can emerge if the agents in the network achieve a shared equilibrium state. Leveraging this model of consensus, researchers have shown that local peer influence can be used to reach a global consensus and cooperation across the entire network. While this model of consensus and cooperation has been shown to be successful in certain contexts, research suggest that communication and social influence cannot be fully captured by simple contagion models and as such a pure contagion based model of consensus may have limits.