摘要
学术博客的不断发展促使网络学术资源不断增长。为了有效地对网络学术资源进行分类,很多学术博客网站引入博文分类机制。对用户的博文分类行为进行研究,有助于理解学术博客中用户分类的规律,从而促进博文分类系统的优化。目前国内外学者开始关注学术博客中的用户行为与分类机制,但缺乏对用户的博文分类行为的研究。为分析学术博客中的不同学科的用户分类行为,本文以科学网博客为例,分析不同学科用户的系统分类与个人分类使用结构,并分析系统分类以及个人分类与各学科的关联度。基于以上分析结果,本文最后为学术博客分类系统的优化提出相应的建议。
With the development of academic blog, web academic resource has increased. In order to efficiently classify web academic resource, some website introduce in blog classification system. Studying on user classification behavior help to understand the regular pattern of academic blog user's classification behavior, and optimize the academic blog classification system. Currently, some researchers are beginning to pay attention to academic blog user's behavior and classify system, but they are rarely involve the problem of blog classification behavior. To analysis the academic blog user's classification behavior of different subjects, this paper take Blog Scieneenet as a example,then analysis the using structure of system classification and user classification of different subject, and analysis the relational degree of system classification and subject, user classification and subject. Based on the above analysis, this paper put forward some corresponding suggestion for Blog Sciencenet classification system.
出处
《情报学报》
CSSCI
北大核心
2016年第11期1223-1232,共10页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金项目"在线社交网络中基于用户的知识组织模式研究"(No.14BTQ033)
国家社会科学基金重点项目"大数据环境下社会舆情与决策支持方法体系研究"(No.14AZD084)资助
关键词
系统分类
用户分类
学术博客
信息分类行为
用户行为研究
system classification, user classification, academic blog, information classification behavior, user behavior research