摘要
选择世界卫生组织(WHO)网站健康信息主题作为研究对象,统计各个健康主题的互链数据,利用文本相似性算法并基于语义的角度,运用社会网络分析方法和Ucinet软件,从中心度、密度、凝聚子群角度分析这些健康主题之间的社会网络关系,最终证实挖掘的健康主题信息与2013年世界卫生报告中阐述的全民健康覆盖目标信息相匹配。
With healthcare being a hot topic and the development of the Webometrics, link analysis is becoming a hot topic. Taking the World Health Organization （WHO） English website as the object of research, this paper makes a statistics of mutual chain data of health topics. With text similarity algorithm and based on semantic links, using social network analysis methods and Ucinet software, it analyzes the social network relationships among these topics from the per spectives of the centrality, density and cohesion subgroup. Finally, it verifyies that the information excavated from health topics matches to that of the universal health coverage targets in 2013 World Health report.
出处
《图书情报工作》
CSSCI
北大核心
2014年第13期75-82,共8页
Library and Information Service
基金
国家留学基金委资助
关键词
健康主题
WHO
中心度
密度
凝聚子群
subject topics
World Health Organization （WHO）
centrality
density
cohesion subgroup
