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[目的/意义]通过对知识网络中心性的动态分析,揭示领域知识发展过程的规律与模式。此类探究对于洞悉知识发展过程中的衍生、交叉、融合等现象具有重要意义。[方法/过程]以复杂网络分析中的中心性分析技术为主要研究方法,基于领域关键词共现关系构建领域知识网络。从核心涌现性、桥接控制性、关联紧密性3个方面,对特定领域知识发展过程进行时间序列的动态跟踪与分析。[结果/结论]研究结果表明,知识关联关系的增长速度远高于文献与关键词的增长速度;领域中知识的核心涌现程度呈波动状态发展;领域知识之间的桥接控制程度随时间推移呈上升趋势;领域中知识间的关联紧密性在时间轴上逐渐松散。这些领域知识演化规律的揭示,有助于把握领域知识演进的发展脉络,对于揭示知识发展模式与规律具有积极的促进作用。
[Purpose / Significance] Through the dynamic analysis of the centrality of knowledge networks, we can reveal the rules and patterns of the process of domain knowledge development. Such inquiry is of great significance to the insight into the phenomena of derivation, crossover and integration in the process of knowledge development. [Method / Process] Taking the central analysis technique in complex network analysis as the main research method, the domain knowledge network is constructed based on the co-occurrence relationship of the key words in the field. From the three aspects of core emergent, bridge control, and relational closeness, the time series of dynamic tracking and analysis of knowledge-based development in a particular field is analyzed. [Results / Conclusions] The results show that the growth rate of knowledge-related relationship is far higher than the growth rate of literature and key words; the core emergent degree of knowledge in the field fluctuates; the degree of bridging control of domain knowledge changes with time Rising trend; the relevance of knowledge in the field is gradually loosened in the timeline. The reveal of the law of the evolution of these fields helps to grasp the development of the evolution of knowledge in the field and reveals the positive effects of the patterns and laws of knowledge development.