摘要
运用知识网络理论、知识转译理论的分析方法,提出知识网络中知识转译演化机制问题。根据案例研究和理论模型,构建基于知识网络结派行为的知识转译演化机制模型。以郑州超硬材料知识网络为案例研究对象,认为网络密度、中心性和共振性的不同组合会形成多种结派行为,并影响着知识转译的演化方向。通过案例讨论发现,在网络结派行为的作用影响下,知识转译演化过程出现波动性特征,但总体呈上升趋势,并沿着非线性路径经历4个阶段的演化过程。
Using the theories of knowledge network and translation,this paper proposes the evolution mechanism of knowledge translation in knowledge network. According to case study and theoretical model,the evolution mechanism model of knowledge translation based on cohesive behaviors in knowledge network is built up. Taking Zhengzhou super hard material knowledge network as the study object,it thinks that evolutional directions of knowledge translation are affected by various cohesive behaviors that are composed by different combinations of network density,centrality and resonance. This case discussion finds that the knowledge translation evolution shows the characteristic of volatility under the effects of cohesive behaviors in network,but generally it presents a nonlinear upward trend of four evolutional stages.
出处
《情报理论与实践》
CSSCI
北大核心
2018年第8期35-41,共7页
Information Studies:Theory & Application
基金
国家社会科学基金项目"制造业集群创新网络的共生演化机制研究"的成果
项目编号:17BGL038
关键词
知识网络
知识转译
结派行为
演化机制
knowledge network
knowledge translation
cohesive behavior
evolution mechanism
