计算机科学
情绪传染
复杂网络
复杂系统
人类行为
集体行为
人机交互
人工智能
心理学
社会心理学
社会学
万维网
人类学
作者
Quan-Hui Liu,Linfeng Zhong,Wei Wang,Tao Zhou,H. Eugene Stanley
出处
期刊:Chaos
[American Institute of Physics]
日期:2018-01-01
卷期号:28 (1)
被引量:24
摘要
What we are learning about the ubiquitous interactions among multiple social contagion processes on complex networks challenges existing theoretical methods. We propose an interactive social behavior spreading model, in which two behaviors sequentially spread on a complex network, one following the other. Adopting the first behavior has either a synergistic or an inhibiting effect on the spread of the second behavior. We find that the inhibiting effect of the first behavior can cause the continuous phase transition of the second behavior spreading to become discontinuous. This discontinuous phase transition of the second behavior can also become a continuous one when the effect of adopting the first behavior becomes synergistic. This synergy allows the second behavior to be more easily adopted and enlarges the co-existence region of both behaviors. We establish an edge-based compartmental method, and our theoretical predictions match well with the simulation results. Our findings provide helpful insights into better understanding the spread of interactive social behavior in human society.
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