中文摘要：

文章基于Scopus中2008年的11144个关键词构成的网络，结合复杂网络的相应知识，基于小世界网络的平均度和聚集系数这两个特征，通过统计和计算，揭示出关键词网络呈现出小世界的效应。基于由关键词构建的网络，文章初步探讨了通过关键词网络的中介度来确定学科知识点的方法，并与基于词频确定知识点的方法进行了简单的对比。

英文摘要：

Based on the network comprised of 111,444 keywords of library and infor-mation science that are extracted from Scopus, and taken into consideration the major properties of average distance and clustering coefficients, the present authors, with the knowledge of complex network and by means of calculation, reveal the small-world effect of the keywords network. On the basis of the keywords network, the betweenness centrality is used to carry out a preliminary study on how to detect the research hotspots of a discipline. This method is also compared with that of detecting research hotspots by word frequency.