在线知识转移网络的演化规律实证分析

An Empirical Analysis of On-line Knowledge Transfer Network's Evolution

研究了在线知识转移网络的动态统计特征和拓扑结构,发现在线知识转移网络的演化特征与传统的BA网络模型存在差异。通过对某BBS论坛的实际网络数据分析后,在BA网络模型的基础上提出了基于PageRank算法的在线知识转移网络演化模型。同时,在网络增长率的解析中发现,网络增长模型的度具有幂率分布特征。并且,可以通过控制网络增长模型算法中的衰减系数和节点度增长系数,最终实现对在线知识转移网络增长的控制。

Based on the study of on-line knowledge transfer network's topology and dynamic statistical characteristics,this paper finds the characteristic differences between the evolution of online knowledge transfer network and the traditional BA network model. Through the empirical data Analysis of a BBS forum,the paper gives out an evolution model of the online knowledge transfer network based on the PageRank algorithm. Meanwhile,in the network analysis it is also found that the network growth model has a power-law distribution of degree. Through the control of the attenuation coefficient and the node degree growth factor,control over the growth of on-line knowledge transfer network can be ultimately realized.