摘要
以CiteUlike中含"tag"标签的文献为数据集,利用社会网络分析方法对社会化标签共现网络进行分析研究。通过研究发现,标签的共现网络具有以下特征:网络呈现"小世界"现象与"无标度"特征,体现了词汇之间的相关性,是一种有效的可视化方式。在此基础上,从推荐机制与本体构建两方面对标签共现网络的应用进行扩展,并为网络信息资源组织的健康发展提出了相关建议。
This paper,taking CiteUlike as an example,builds a co-occurrence network made of tags,by social network analysis and comparative analysis,to investigate the basic properties of networks.Some conclusions are found： This network,which reflects the relevance between tags,has the characteristics of ＂small world＂ and ＂scale-free＂,and it is an effective way of visualization.At the same time,this paper makes a brief introduction on two applications of co-occurrence network,namely the recommendation and ontology construction.Finally,some suggestions on organization of Internet information resources are provided.
出处
《情报杂志》
CSSCI
北大核心
2012年第7期103-109,共7页
Journal of Intelligence
基金
国家自然科学基金重点项目"基于生命周期理论的数字信息资源深度开发与管理机制"(编号:7083305)
