协作系统CiteULike中的群体分类和聚类
Folksonomies and clustering in the collaborative system CiteULike
摘要：
我们分析CiteULike，一个在线协作标记系统，用户书签和注释科学论文。这样的系统可以自然地表示为三分图，其节点表示通过单独的标签分配连接的论文、用户和标签。本文对标签的语义进行了研究，以揭示标签之间隐藏的关系。我们发现聚类系数反映了标签之间的语义模式，为设计更有效的数据分类和垃圾邮件检测方法提供了有用的思路。
英文摘要：
We analyze CiteULike, an online collaborative tagging system where users bookmark and annotate scientific papers. Such a system can be naturally represented as a tripartite graph whose nodes represent papers, users and tags connected by individual tag assignments. The semantics of tags is studied here, in order to uncover the hidden relationships between tags. We find that the clustering coefficient reflects the semantical patterns among tags, providing useful ideas for the designing of more efficient methods of data classification and spam detection.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
