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

Table 1

Model comparison.

	Holme model	Kozma model	Our model
Theoretical basis	Behavior impact theory	Behavior impact theory; herd effect	Social identity theory
Steps and rules	Edges are randomly selected, and nodes perform rewiring operation with probability ξ and influence operation with probability 1 − ξ	With a probability ω, an attempt to break the connection between i and j is made if |o(i, t) − o (j, t)| > d	If the number of homogeneous neighbor nodes of a node is greater than that of heterogeneous nodes, do CA mechanism; otherwise, do SU mechanism
Decisive parameter	Rewiring probability: ξ	Tolerance threshold: d	Similarity threshold: θ

This table compares the Holme model, Kozma model, and our model from three aspects: theoretical basis, steps and rules, and decisive parameters.