摘要
在BA(Barab Albert)无标度网络模型的基础上,考虑大学生社交网络初始状态的特点,加入网络初始状态规模大小影响因素m,可以随机变化并不是初始为1。传统的BA模型在其增长过程中择优选择是基于全局的,而现实中这样对于大学生社交来说基于全局择优成本太高而不现实,所以我们在改进后的BA模型中采用局部寻优算法,这样能大大接近实际的效果。最后通过数值仿真实验验证了该模型依然具备无标度网络特性,利用它可以更真实地模拟与刻画大学生社交网络及其特征,这对分析大学生社交和成长具有重要的教育和指导意义。
In the BA scale-free network model(Barab Albert), on the basis of considering the characteristics of college students' social network initial state, initial state to join the network size m.Traditional BA preferred choice in the process of its growth model is based on the global, and reality so for college students' social cost is too high, so in this improved model using local optimization, so more practical.Finally the model is verified by numerical simulation experiment is scale-free network features, using it can more truly simulate and depict college students' social network and its characteristics, the analysis of college students' social and growth of the education and guidance significance.
出处
《电脑知识与技术》
2016年第2Z期250-252,共3页
Computer Knowledge and Technology
