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技术的知识网络层次结构及其知识复杂度测度方法研究
引用本文:巴志超,刘学太,梁镇涛.技术的知识网络层次结构及其知识复杂度测度方法研究[J].情报理论与实践,2021(3):178-187.
作者姓名:巴志超  刘学太  梁镇涛
作者单位:南京理工大学经济管理学院;武汉大学信息管理学院
基金项目:国家自然科学基金重大项目“国家安全大数据综合信息集成与分析方法”(项目编号:71273196);南京理工大学自主科研专项计划项目“中国城市间知识流动网络空间结构与演化规律研究”(项目编号:AE891176)的成果。
摘    要:目的/意义]探究技术的知识网络层次结构以及不同层次技术知识的复杂度,对于揭示知识网络的微观形态和分析拥有不同知识结构创新主体的技术竞争优势具有重要研究意义。方法/过程]以美国USPTO专利数据库中Energy Conservation领域的专利数据为例,构建技术的知识—知识网络(Knowledge-Knowledge Network,KKN)和知识—地理二模网络(Knowledge-Geography Network,KGN),基于K-core分解方法对KKN进行层次解析,获得知识网络的基础层、中间层、细节层三层微观知识结构,利用基于反射机制的知识复杂度测度模型(Knowledge Complexity Model,KCM)探究KKN中各层技术知识的复杂度,并分析不同城市在该领域所表现出的技术竞争优势。结果/结论]知识复杂度能够反映知识空间分布集聚特征和被复制、模仿的难易程度,且随着该领域技术创新发展而逐渐提高。知识网络基础层代表着一个领域核心知识结构,具有较高空间覆盖率和较低知识复杂度;中间层和细节层代表一个领域微观知识结构,具有相对较低的空间覆盖率和较高的知识复杂度,是挖掘一个领域新兴技术的关键层次。城市拥有更多中间层和细节层知识往往更具有较明显的技术竞争优势。

关 键 词:知识网络  层次结构  知识复杂度  反射机制  城市尺度

Hierarchical Structure and Its Spatial Complexity Measurement of Technical-knowledge Network
Abstract:Purpose/significance]Research on the hierarchical structure and its knowledge complexity of the technical-knowledge network have essential significance for revealing the microscopic structure of the knowledge network and discovering the competitive advantages of technology innovation subjects.Method/process]Taking the patent data of the Energy Conservation field in the USPTO database as an example,we construct the knowledge-knowledge network(KKN)and knowledge-geography Network(KGN)of this field.K-core decomposition is applied to achieve the hierarchical structure of KKN,where a three-layer knowledge structure,including the base layer,the middle layer,and the detail layer,is generated.Meanwhile,the knowledge complexity measure model based on the reflection mechanism is employed to investigate the spatial agglomeration characteristics and spatial complexity of the three-layer knowledge structure.Result/conclusion]The experimental results show that knowledge complexity,reflecting the space agglomeration of knowledge and its difficulty of being produced,increases along with technical development.The basic layer is the core knowledge structure of a field with high spatial coverage and low knowledge complexity.The middle layer and the detail layer represent the micro-knowledge structure with relatively low spatial coverage and high knowledge complexity,which are essential layers for mining emerging technologies.Cities with more complex knowledge have distinct technological innovation advantages.
Keywords:knowledge network  hierarchical structure  knowledge complexity  reflection mechanism  urban scale
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