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基于共词网络的哲学和科学视角:知识系统作为典型复杂系统的演化
  • ISSN号:1005-6408
  • 期刊名称:《系统科学学报》
  • 时间:0
  • 分类:N94-02[自然科学总论—系统科学]
  • 作者机构:天津大学环境科学与工程学院,天津300350
  • 相关基金:国家自然科学基金(41571522)
中文摘要:

不同于以整个文献的引用模式为知识系统骨架的研究思路,以知识系统中文献里的关键词为组元来建立共词网络是一个构造知识系统骨架和分析其演化的重要新手段。本文对共词网络的系统哲学和科学的基础进行了分析。以再生水为案例,建立起关键词的共词网络模型,以共词网络的构型演化和连接度分布等对知识系统的演化进行探讨。明确地揭示了共词网络是科学交流过程中形成的网络,知识系统具有自组织生成、构建和演化的基本规律。本文提出的共词网络方法和由其揭示的规律具有普适性,适合其它许多领域的知识系统的演化。本文的结果不仅在学术上有意义,在优化知识系统的对策和措施等具体应用中也有指导作用。

英文摘要:

Knowledge system (KS) is a self-organized complex system. To reveal its evolutionary law from the view of system philosophy/sciences , the essay gives associated assessment/action/measure. Different from taking citation pattern of whole literature as a skeleton of KS, to construct co-words network (CWN) by selecting keywords of KS as units is an important alternative avenue to construct the skeleton and analyze the evolution of KS. This paper analyzes system philosophical and scientific foundation of CWN. With reclaimed water as a case, CWN is proposed to analyze the evolution of CWN and degree dis- tribution for the evolution of KS. It clearly reveals that CWN is a network formed during the process of scientific communication, and synergetic KS gradually emerges, forms and evolves by self-organization,ly- ing at self-organized criticality. The CWN method and law are very universal,which can be used for the evolution of KS in many other fields. The results are not only importantly instructive in academy, but are helpful in specific engineering applications such as providing measures and actions of optimizing KS.

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期刊信息
  • 《系统科学学报》
  • 北大核心期刊(2014版)
  • 主管单位:山西省教育厅
  • 主办单位:太原理工大学
  • 主编:乌杰
  • 地址:太原市迎泽西大街79号
  • 邮编:030024
  • 邮箱:cjssbjb@tyut.edu.cn
  • 电话:0351-6018612
  • 国际标准刊号:ISSN:1005-6408
  • 国内统一刊号:ISSN:14-1333/N
  • 邮发代号:
  • 获奖情况:
  • 国内外数据库收录:
  • 中国北大核心期刊(2008版),中国北大核心期刊(2014版)
  • 被引量:2467