Evolution and development of knowledge is an important issue of Library and Information academia. In this study, from the perspective of time series, keywords of literature are extracted in particular domain, and domain knowledge networks are constructed based on keyword co-occurrence relationship. Using a variety of analytical methods network density, clustering coefficient, characteristic path length, degree centralization, betweenness centralization, etc., the development of situation in domain knowledge networks is tracked and analyzed. The results show that the overal trend of domain knowledge development is moving to the status of smal world, and centrality of domain knowledge wil appear gradual y with the development of knowledge. A helpful at empt is made for analyzing and judgment on development tendency of domain knowledge based on complex network theory and methods.%知识的演进与发展问题是图书情报学界的重要课题之一。研究中从时间序列的视角出发，通过对特定领域文献关键词的提取，基于关键词共现关系构建领域知识网络。采用网络密度、聚类系数、特征路径长度、点度中心势、中介中心势等多种分析方法，对领域知识网络的发展态势进行跟踪与分析。研究结果表明，领域知识的发展趋势总体上向小世界状态迈进，而且领域知识的中心性会随着知识发展逐渐显现，为基于复杂网络的理论与方法对领域知识的发展趋势进行分析与研判做出了有益的尝试。
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