An Adaptive Network Model to Simulate Consensus Formation Driven by Social Identity Recognition

Figure 3

CA mechanism and SU mechanism at time t with node shapes representing states. At each time step, the system is updated according to the process illustrated in (a) or (b) with a precondition of the number of homogeneous (heterogeneous) neighbor nodes. When the number of homogeneous neighbor nodes of is greater than that of heterogeneous neighbor nodes, as shown in (a), the state of will be affected by its two homogeneous neighbor nodes. The direction of the arrow indicates the direction in which neighbor nodes influence it. Otherwise, as shown in (b), will randomly select a node and achieve a rewiring process.

(a)

(b)