当前位置: X-MOL 学术IEEE Access › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Cooperation Evolution in Multiplex Networks With the Heterogeneous Diffusion Model
IEEE Access ( IF 3.9 ) Pub Date : 2021-05-26 , DOI: 10.1109/access.2021.3084059
Jianyong Yu , Zekun Liu , Xue Han

Cooperation evolution emerges in diversities of social networks by way of individuals’ interactions and influence propagations. The influence on cooperation evolution owing to the multiplex nature of social networks and interactions is still an open question. In this work, we focus on the impacts of the individuals’ heterogeneous properties and the networks’ multilayer nature on cooperation evolution, and propose a heterogeneous diffusion model to describe and analyze the cooperation dynamics processes in diverse layers of multiplex networks with weighted values. We investigated how the interlayer and intralayer interactions with these heterogeneities influence individuals’ behaviors and strategies, and discussed how some important parameters impact the cooperation densities and evolution processes in the interactions of different strategy games. The experimental results show that the tighter interlayer interaction can obviously improve the cooperation densities in the strategy games SG , but has little impact on the cooperation evolution in the strategy games PD . The effect of individuals’ trust on cooperation diffusion is smaller in the games PD than in the games SG . The heterogeneity of degree distribution between individuals from interlayer networks also affects cooperation processes. This work explores and reveals the mechanism and regular pattern of cooperation diffusion considering the heterogeneities of individuals in multiplex networks with weighted values.

中文翻译:

具有异构扩散模型的多路复用网络中的协作演化

通过个人的互动和影响传播,合作演变出现在社交网络的多样性中。由于社交网络和交互的多重性质对合作演化的影响仍然是一个悬而未决的问题。在这项工作中,我们关注个体的异构属性和网络的多层性质对合作演化的影响,并提出了一种异构扩散模型来描述和分析具有加权值的多重网络不同层中的合作动态过程。我们研究了这些异质性的层间和层内相互作用如何影响个体的行为和策略,并讨论了一些重要参数如何影响不同策略博弈相互作用中的合作密度和演化过程。SG , 但对策略博弈中的合作演化影响不大 PD . 博弈中个体信任对合作扩散的影响较小PD 比在游戏中 SG . 来自层间网络的个体之间度分布的异质性也会影响合作过程。这项工作探索并揭示了考虑到具有加权值的多重网络中个体的异质性的合作扩散的机制和规律。
更新日期:2021-06-22
down
wechat
bug