基于复杂网络方法的远程教育网站实证研究

An Empirical Research on Distance Education Websites Based on the Complex Network Method

目前我国远程教育网站存在资源数量多,但内容联系不够紧密、信息搜索耗时长、信息的安全性与网站的稳定性较差等问题。复杂网络研究可以通过实证方法度量网络的结构特征和形成规则,进而预测网络系统的行为。中美远程教育网站经复杂网络方法实证分析发现:远程教育网站的建设要有统一的规划,要注意信息的排布、层次结构的架构以及内容的联系,提高信息的利用率,并建立有效的病毒防护和故障排除机制。利用复杂网络的链路预测方法和免疫策略还可以在远程教育网站中实现推荐机制和病毒防护。

Currently there exist lots of resources in Distance Education websites in China. But those resources are poorly correlated, which makes information searching time-consuming, and the websites unsafe and unstable. Complex network method can be used to measure the structure characteristics and the formation rules of those websites via empirical research, so as to predict the behaviors in the network system. Two separate distance education websites from China and the United States are analyzed with this method and it is concluded that distance education websites need a unified planning, optimal arrangement of information, reasonable hierarchy structure and closely linked content, efficient information utilization, effective virus protection and troubleshooting mechanism. Finally, it is indicated that the link prediction and immunization strategies of the complex network method can be applied to implement the recommendation mechanisms and antivirus protection for distance education websites.