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[目的/意义]分析与提炼领域知识群落的生长演化机制,对于揭示知识发展的模式与规律具有重要意义。[方法/过程]以复杂网络理论为基础,基于领域关键词共现关系构建领域知识网络。采用派系分析方法,对领域知识群落从时间序列上进行识别与跟踪,在此基础上对领域知识群落的生长模式与机制进行分析。[结果/结论]研究表明,领域知识群落的生长主要包括原有群落吸纳新的知识点、原有群落间相互交叉融合,以及原有群落老化淡出等形式,其过程中包含着领域知识的衍生、交叉、融合、扩张与衰老的交叠,总体上呈渐进性增长。[局限]研究数据难以穷尽领域知识中的所有文献数据,更广泛和更深层次的研究有待于后续工作中进一步探索。
[Purpose / Significance] Analyzing and refining the growth and evolution mechanism of knowledge communities is of great significance for revealing the patterns and laws of knowledge development. [Method / Process] Based on complex network theory, a domain knowledge network is constructed based on the co-occurrence relationship of domain keywords. Using the factional analysis method, the domain knowledge community is identified and tracked from the time series. On this basis, the growth pattern and mechanism of the domain knowledge community are analyzed. [Result / Conclusion] The research shows that the growth of the field of knowledge community includes the original community to absorb new knowledge points, the original community cross-integration, as well as the original community aging fade in the form of the process includes the domain knowledge derived , Crossover, integration, expansion and aging overlap, the overall gradual increase. [Limitations] It is difficult for research data to exhaust all the literature data in domain knowledge, and more extensive and deeper research is to be further explored in the follow-up work.