摘要
基于复杂网络与演化博弈相关理论，建立社区规模均匀性可调和社区间交互水平可变的无标度社区网络模型，仿真研究在网络社区规模均匀和非均匀两种条件下，社区间交互水平对创新网络合作行为演化的影响。实验结果表明，随着社区间交互水平的提高，创新网络合作水平呈现先上升后下降的趋势，即社区间存在最优交互值使合作水平较高；对于社区规模不均匀的创新网络，随着社区间交互水平的增加，大社区对整体网络合作水平的提升作用相比小社区更加明显。
This paper establishes a scale-free community network model with variable level of interaction between communi- ties based on the related theories about complex network and evolution games. And then, it analyzes the influence of com- munity interaction level on the evolution of innovative network cooperation behavior by simulation under the condition of uni- form scale and non-uniform network community. Experimental results show that, with the improvement of interaction level between communities, the level of innovation network cooperation firstly increased and then decreased, which means the op- timal interaction value between communities makes the highest level of cooperation. At the same time, for non-uniform com- munity innovation network, with the increase of the level of interaction between communities, the improvement of the overall level of network cooperation by large communities is more obvious than that of small communities.
作者
张丹
孔晓丹
ZHANG Dan;KONG Xiao-dan(Glorious Sun School of Business and Management,Donghua University,Shanghai 200051)
出处
《软科学》
CSSCI
北大核心
2018年第11期80-85,共6页
Soft Science
基金
国家自然科学基金项目(71373040、61473060)
关键词
创新网络
社区结构
演化博弈
合作行为
community structure
innovation network
evolution games
cooperative behavior
作者简介
张丹（1964-），女，江苏镇江人，教授，研究方向为创新与知识管理。;孔晓丹（1992-），女，山东曲阜人，博士研究生，研究方向为创新与复杂网络（通讯作者）。
