| 引文内容视角下的引文网络知识流动网络分析 |
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| 引用本文： | 毕崇武,贠婕,周静虹,叶光辉.引文内容视角下的引文网络知识流动网络分析[J].情报科学,2022,39(1):79-87. |
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| 作者姓名： | 毕崇武 贠婕 周静虹 叶光辉 |
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| 作者单位： | 郑州大学信息管理学院;华中师范大学信息管理学院 |
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| 基金项目： | 国家自然科学基金青年项目“基于标签语义挖掘的城市画像计算与应用模型研究”(71804055);中央高校基本科研业务费资助项目“基于引文分析的跨地域知识流动效率及其影响因素研究”(2019CXZZ126)。 |
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| 摘 要： | 【目的/意义】从引文内容视角探究引文网络的拓扑结构及其组成要素的知识属性与引文网络中知识流动
效应间的关系。【方法/过程】首先，在阐述引文内容视角下引文网络知识流动主要特征的基础上，从静态特征属性
和动态结构属性2个方面构建了知识流动的演化动力模型；然后，依据影响引文网络中知识流动效应的主要因素，
从知识吸收效应、知识叠加效应和知识成本效应3个方面构建了知识流动效应函数的数学模型；最后，借鉴描述知
识溢出效应的蜂巢模型及其修正模型提出了知识流动效应系数的计算方法。【结果/结论】运用Netlogo设置演化动
力模型的初始参数，并通过仿真实验剖析各因素对知识流动效应系数的影响机理。文中方法可为客观反映引文网
络中的知识流动规律与模式，并揭示引文网络中的知识流动效应提供一套可参考的实证模型。【创新/局限】本文通
过计算实验方法从理论上较为系统地分析了引文内容视角下引文网络的知识流动效应，得出了一系列结论，但并
未结合实际题录数据的计算结果进行对比和优化。
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| 关 键 词： | 知识流动 引文内容 引文网络 效应度量 仿真实验 |
The Effect of Knowledge Flow in Citation Network from the Perspective of Citation Content |
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| BI Chong-Wu,YUN Jie,ZHOU Jing-Hong,YE Guang-Hui.The Effect of Knowledge Flow in Citation Network from the Perspective of Citation Content[J].Information Science,2022,39(1):79-87. |
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| Authors: | BI Chong-Wu YUN Jie ZHOU Jing-Hong YE Guang-Hui |
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| Institution: | (School of Information Management,Zhengzhou University,Zhengzhou 450001,China;School of Information Management,Central China Normal University,Wuhan 430079,China) |
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| Abstract: | 【Purpose/significance】The research aims to explore the relationship between the topological structure and the knowledge at?tribute of citation network and the effect of knowledge flow in citation network from the perspective of citation content.【Method/pro?cess】Firstly, on the basis of characteristics of knowledge flow in citation network from the perspective of citation content, the evolu?tionary dynamic model of knowledge flow is constructed from two aspects: static characteristic attribute and dynamic structure attri?bute; Secondly, according to main factors influencing the effect of knowledge flow in citation network, the mathematical model of the ef?fect coefficient of knowledge flow is constructed from three aspects: knowledge absorption, knowledge superposition and knowledge cost; Finally, the method to calculate the effect coefficient of knowledge flow is proposed by using the beehive model and its modified
model to describe knowledge spillover effect【. Result/conclusion】Netlogo is used to set the initial parameters of the evolutionary dy?namic model, and the influence mechanism of each factor on the effect coefficient of knowledge flow is analyzed through simulation ex?periments.The method in this paper can provide an empirical model for objectively reflecting the law and pattern of knowledge flow in citation network and revealing the effect of knowledge flow in citation network【. Innovation/limitation】This paper systematically analyz?es the knowledge flow effect of the citation network from the perspective of citation content through computational experiment methods, and draws a series of conclusions, but it does not compare and optimize the calculation results of actual bibliographic data. |
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| Keywords: | knowledge flow citation content citation network effect measure simulation |
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