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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。
The dynamic statistical characteristics and topology of online knowledge transfer network are studied. It is found that there are differences between the evolution characteristics of online knowledge transfer network and the traditional BA network model. After analyzing the actual network data of a BBS forum, an online knowledge transfer network evolution model based on PageRank algorithm is proposed based on the BA network model. At the same time, it is found in the analysis of the growth rate of the network that the degree of network growth model has the characteristics of power distribution. In addition, the control of growth of online knowledge transfer network can finally be achieved by controlling the attenuation coefficient and node growth coefficient in the algorithm of network growth model.