Abstract
Originated in emergent behavior characterized by interactions between individuals and cognitive processes, sudden changes in behavior are common phenomena under the information pressure being perceived by individuals, particularly those whose cognition is weak to negative information. (Said behavioral changes are thus related to reactive individual behavior). To probe its underlying mechanism, we introduce an ICR model that accounts for the sudden changes in individual cognitions and behaviors. To ensure that our model is stable in different types of network environments, Verification results show that the model indeed accurately describes the various catastrophe paths of individual cognition. Exploration of our model also shows it can be applied in polarization of group behavior, and the confidence intervals of the resilience of individuals were analyzed to identify reversal patterns of polarized group behavior. As a discussion of the results, it shows that the proposed model has wonderful prospect to support neural network training in individual behaviors among networks.
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