基于URL共现分析的技术社区网络结构研究

Research on Technology Community Network Structure Based on URL Co-occurrence Analysis

随着互联网技术的发展,网络上涌现了许多技术社区网站。探究社区网站的网络关系结构,可以使人们对社区网站类型以及网站之间的联系有更清晰的认识,为利用网络资源的技术学习者提供参考。以技术社区网站在站长之家的排名为基本数据来源,利用URL共现分析,结合聚类、多维尺度等分析方法,对社区划分群体,阐明了社区注重的技术类型,同时结合核心-边缘分析和整体网络图谱分析方法识别出社区网站中的核心社区。研究结果表明,URL共现分析适用于技术社区网站研究,可以揭示各技术社区之间的关系,同时网站的中心性排名与站长之家排名具有较强的相关性。

With the development of Internet technology, many technical community websites have emerged on the Internet. Exploring the network relationship structure of community websites can make people have a clearer understanding of the types of community websites and the links between them, and provide a reference for technical learners who use network resources. This paper takes the ranking of technical community websites in the China Webmaster as the basic data source,uses URL co-occurrence analysis, combines clustering, multi-dimensional scal analysis methods to divide the community into groups, clarifies the technical types that the community pays attention to, and identifies the core communities in the community websites by combining core-edge analysis and the overall network mapping analysis method.Research results show that URL co-occurrence analysis is applicable to technical community website research, which can reveal the relationship between various technical communities. At the same time, the central ranking of the website has a strong correlation with the ranking of the China Webmaster.