知识吸收机制对知识增长绩效的影响研究

发布时间：2018-03-13 19:14

本文选题：科研创新网络　切入点：知识增长　出处：《图书情报工作》2017年11期 　论文类型：期刊论文

【摘要】：[目的/意义]从知识主体吸收知识的认知视角出发,研究科研创新网络中知识动态增长的演化规律以及影响机制,引入复杂网络理论,构建基于科研创新网络的知识增长过程模型。[方法/过程]考虑科研创新网络中知识主体获取知识的空间结构和认知特征,基于对数透视法则将网络中实际的知识物理分布转换为知识主体自身的认知空间;在分析知识吸收过程中相关影响因素的基础上,深入理解知识动态增长的流动模式构建知识增长函数,并从效率和公平相匹配角度界定知识增长的绩效。[结果/结论]科研创新网络中的知识增长绩效受网络结构随机化程度的影响呈现先下降后上升的趋势;知识主体具备适度的知识传播能力和吸收能力才能实现网络中最优的知识累积效应;主体获取知识的认知过程受对数法则的约束,且随着其认知半径的增大,网络的知识增长绩效越高。
[Abstract]:[objective / significance] from the cognitive perspective of knowledge absorption by knowledge subject, the evolution law and influence mechanism of knowledge dynamic growth in scientific research innovation network are studied, and the complex network theory is introduced. The model of knowledge growth process based on scientific research innovation network is constructed. [method / process] considering the spatial structure and cognitive characteristics of knowledge acquisition in scientific research innovation network, Based on the logarithmic perspective rule, the physical distribution of knowledge in the network is transformed into the cognitive space of the knowledge subject itself, and based on the analysis of the related factors in the process of knowledge absorption, Deeply understand the flow pattern of knowledge dynamic growth, construct knowledge growth function, The performance of knowledge growth is defined from the point of view of matching efficiency and fairness. [results / conclusion] the performance of knowledge growth in scientific research innovation network is affected by the degree of randomization of network structure. In order to realize the optimal knowledge accumulation effect in the network, the knowledge agent has the moderate ability of knowledge transmission and absorption, and the cognitive process of knowledge acquisition is restricted by the logarithmic law and increases with the increase of its cognitive radius. The higher the knowledge growth performance of the network.
【作者单位】：武汉大学信息资源研究中心;
【基金】：国家自然科学基金项目“科研团队动态演化规律研究”(项目编号:71273196) 山东省重点研发计划项目“可定制大数据知识服务平台关键技术研究及应用”(项目编号:2015GGX101037)研究成果之一
【分类号】：F272;F273.1

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