链接内容分析视角下的科学网博客评价探索  

Study on Sciencenet Blog Evaluation with Link Content Analysis

作　　者：周春雷[1] 

机构地区：[1]郑州大学信息管理系,郑州450001

出　　处：《图书情报知识》2012年第4期11-17,共7页Documentation,Information & Knowledge

基　　金：国家社科基金项目"学术授信评价及其在学术博客评价中的应用"(11CTQ014)成果之一

摘　　要：针对传统链接分析重链接形式而轻链接内容的倾向,文章提出了链接内容分析法,并以此为基础提出了"被好友"指标这一新型博客影响力评估指标。并运用该方法对科学网博客进行了实证研究,揭示了科学网博客的核心博客并以可视化形式展示了其社区结构,从而论证了对链接进行内容分析的意义和可行性,为链接分析和博客评价研究提供了新的方法和思路。The paper states that traditional link analysis ignores the content of links but pays too much attention to links themselves. To overcome this problem, the paper proposed a new kind of link analysis method named Link Content Analysis （LCA） and a new influence evaluation indicator named Friended, and made a case study on Sciencenet blog using the new ap- proach and the new indicator. The paper identified the core bloggers and visualized the structure of the blog community. The paper verified feasibility and significance of link Content analysis and provided new methods and approaches to link study and blog community study.

关 键 词：科学网 博客 博客评价 链接内容分析法 链接分析 内容分析 被好友 

分 类 号：G350[文化科学—情报学]