在共进网络中的值级联动力学
Byungjoon Min1,2, Maxi San Miguel3
1Department of Physics, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea.
Entropy (Basel, Switzerland)
|June 28, 2023
概括
网络可塑性通过改变网络结构来抑制社会传染级联. 共同进化的动态表明,重新连接链接会阻碍新思想的传播,影响级联大小.
科学领域:
- 社交网络分析分析
- 复杂系统科学 复杂系统科学
- 计算社会科学 计算社会科学
背景情况:
- 社会传染,如意见或创新的传播,受到网络结构的影响.
- 对于复杂的系统来说,了解网络拓和传染动力学如何共同发展至关重要.
- 值模型解释了个人采用决策如何聚合成宏观级联.
研究的目的:
- 研究网络拓与社会复杂传染之间的共同进化动态.
- 用值模型分析网络可塑性对级联动态的影响.
- 确定连接重新布线如何影响少数民族国家的扩散.
主要方法:
- 开发了一个共同演变的值模型,包括传染传播和网络可塑性 (链接重新布线).
- 采用数值模拟来探索不同参数下的模型行为.
- 利用平均场理论分析对级动态的分析见解.
主要成果:
- 网络可塑性显著改变了级联动态,通常抑制了全球级联.
- 增加网络可塑性缩小了全球级联的参数域 (值,平均度).
- 非采用节点形成更密集的连接,导致更广泛的度分布和非单调的级联大小.
结论:
- 同进化动态,特别是网络可塑性,在调节社会传染方面发挥着至关重要的作用.
- 连接重新布线作为一种抑制新州广泛采用机制.
- 网络结构进化和传染传播之间的相互作用导致复杂的新兴行为.
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