Voter Dynamics on Clustered Networks

The dynamical behavior of social systems can be described by agent-based models. One famous and important model for the description of voting behavior is the so-called (extended) voter model where agents decide between various options based on different rules. A key factor is the interaction network, that is what information the agents obtain and how they interact with each other. This data set provides simulation data to analyze the influence of the interaction network. A key challenge is the reconstruction of the network.