基于复杂网络的创新扩散研究

The Study for Innovation Diffusion Based on Complex Network

分别建立了基于随机网络、小世界网络和无标度网络的创新随机演化模型,讨论了创新扩散的动力学性质。通过大量的试验,得到心理阈值、人群的网络机构、初始采纳创新群体的规模和特点影响创新扩散的规律。

In this paper, we established the stochastic evolvement models for innovation diffusion based on random graphs, small-world networks and scale-free networks, and studied the dynamic character of innovation diffusion. By many simulant experiments, it is found that mental threshold, the type of network, the quantity and characteristic of the people that accept fad initially could affect innovation diffusion.