Related Experiment Video
Updated: May 15, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Interplay between collective behavior and spreading dynamics on complex networks
Kezan Li1, Zhongjun Ma, Zhen Jia
1School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, People's Republic of China. lkzzr@guet.edu.cn
Abstract:
There are certain correlations between collective behavior and spreading dynamics on some real complex networks. Based on the dynamical characteristics and traditional physical models, we construct several new bidirectional network models of spreading phenomena. By theoretical and numerical analysis of these models, we find that the collective behavior can inhibit spreading behavior, but, conversely, this spreading behavior can accelerate collective behavior. The spread threshold of spreading network is obtained by using the Lyapunov function method. The results show that an effective spreading control method is to enhance the individual awareness to collective behavior. Many real-world complex networks can be thought of in terms of both collective behavior and spreading dynamics and therefore to better understand and control such complex networks systems, our work may provide a basic framework.
Related Concept Videos
Impact of Individuals on Individuals
Impact of Groups on Groups
Causes of Social Behavior III: Biological and Environmental Influences
Cognition and Behavior
Interactions Between Signaling Pathways
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
Levels of Communication II: Organizational, Public, and Group Dynamics

