基于 HK 模型在均匀和正态观点分布下的演化研究

摘要

Research on the evolution of HK model in the BA network based on the uniform and normal distribution of opinions ,and compared with the case under the rules network ,found that under HK model the normal and uniform distribution of opinions’ probability and time converges as the same ,and with the same mean and variance it’s more difficult for the normal distribution of opinions to con-verge to a stable state compared with the uniform distribution of opinions .%　　研究了正态分布和均匀分布的初始观点分布下在 BA 网络下的关于 HK 模型的演化情况，并与规则网络下的情况进行了对比，发现正态分布和均匀分布下的 HK 模型的趋于一致的概率以及收敛时间的变化情况相似，而且同均值、同方差正态分布和均匀分布下，正态分布下的 HK 模型更难趋于一致。