社会化标签系统中基于社会网络的知识推送网络演化研究

Evolution of Knowledge Push Network Based on Social Network in Social Tagging System

利用网络分析方法,本文将社会化标签系统中基于社会网络的知识推送网络构造方法描述为六个步骤。借鉴演化理论,将基于社会网络的知识推送网络演化动力归纳为内生动力和外生动力。移植生物进化论的相关理论,提出多重动力机制作用下基于社会网络的知识推送网络演化周期性模型:每个周期的起点就是新一轮社会网络的构建,每个周期内部的演化过程分为选择阶段、遗传阶段、变异阶段。依托原型系统搜集不同时间点的相关数据,利用网络结构计量方法对基于潜在社会网络的知识传播网络演化过程进行实证分析,印证上述理论研究成果。图8。表9。参考文献13。

According to the network evolution theory, the evolution dynamics of knowledge push network can be concluded as the endogenous dynamics and the exogenous dynamics. By transplanting biological evolution theory, this paper puts up a peri- odic evolution model for knowledge push network based on social network under the action of multiple dynamic mechanisms. The periodic evolution model is iterative： at the start of each period, a brand new social network is constructed, while during each period, the selection stage, the entailing stage and the mutation stage are involved. In the experiments, firstly a prototype system is used to collect relevant data at different times. Then, the whole evolution process of knowledge push network based on latent social network is observed and analyzed empirically by using network structure metrics. As a result, the theoretical significance of the research is eonfirmed. 8 figs： 9 tabs.13 refs.