动态稠密人际网络中创新扩散研究——一个多智能体仿真分析

Research on Innovation Diffusion in Dynamic Dense Interpersonal Network: Analysis Based on Multi-Agent Simulation

使用复杂网络模型最新成果——p-GNC网络拟合社交时代的人际网络,运用多智能体仿真法分析了p-GNC网络结构、网络效应强度和社会系统中创新先驱者比例对创新扩散的影响。研究发现,p-GNC网络的平均聚集系数越大、平均度越小,创新扩散规模越大,且平均度是创新扩散规模的决定因素。网络效应强度正向影响创新扩散规模,网络效应强度越高,p-GNC网络结构变化对创新扩散规模的影响越大。创新先驱者比例正向影响创新扩散规模,当网络效应强度较高且p-GNC网络呈现出稀疏状态时,提高创新先驱者比例对创新扩散规模的促进作用随创新先驱者比例的增加而边际递减。

The paper introduces the p-GNC network,the latest development of complex networks,into the research of innovation diffusion,and analyses the influence of network structure,the intensity of network effect and the proportion of innovators on the scale of innovation diffusion using the multi-agent based modeling and simulation method.It shows that the structure of p-GNC network significantly affects the scale of innovation diffusion.The larger the average clustering coefficient and the smaller the average degree is,the higher the scale of innovation diffusion will be.What is more,the average degree of p-GNC network is the determinant of the scale of innovation diffusion.The intensity of network effect has a positive impact on the scale of innovation diffusion,and in the network with higher network effect intensity,the impact of p-GNC network structure change on the scale of innovation diffusion is greater.The proportion of innovators also positively affects the scale of innovation diffusion.When the network effect is high and the p-GNC network is in a sparse state,the promotion effect of innovators on the scale of innovation diffusion decreases with the increase of the proportion of innovators.