基于动态专利有向网络的核心技术集群演化分析

The Evolution Analysis of Core Technology Cluster Based on Dynamic Patent Directed Network

[目的/意义]技术集群因对属性相同的技术集聚进行研究,能够识别新技术,发现技术发展规律,提前感知市场技术变化,引起学者和企业管理者越来越高的关注。[方法/过程]以文本挖掘和复杂网络技术方法对专利文本数据进行分析,进而构建动态专利有向网络,并从网络中基于Python程序提取巨片,通过巨片拓扑性质分析核心技术集群的演化历程。[结果/结论]以美国电商数据处理技术为例的实证研究表明:通过构建动态有向网络,并从网络中提取巨片分析技术演化,能够有效的识别出美国电商数据处理技术中"数据设备技术、数据信息技术、数据系统技术、数据应用技术和数据融合技术"5个核心技术集群,并进一步发现核心技术集群之间很好的更新替换机制。实证研究证明了基于动态专利有向网络的核心技术集群演化分析方法的有效性。

[Purpose/Significance]Because of the research on technology cluster with the same attributes,technology cluster can identify new technology,discover the law of technology development,and perceive the change of market technology in advance,which has attracted more and more attention from scholars and business managers.[Method/Process]The authors use text mining and complex network technology to analyze the patent text data,then build a dynamic patent directed network,extract maximal connected component from the network based on Python,and analyze the evolution process of the core technology cluster through the topology properties of maximal connected component.[Result/Conclusion]Taking e-commerce data processing technology in the United States as an example,the research shows that:constructing dynamic directed network,extracting maximal connected component from network to analyse technology,can effectively identify five core technologies cluster,namely"data equipment technology,data information technology,data systems technology,data application technology and data fusion technology",and further find an update replacement mechanism between them.The empirical study proves the validity of the evolution analysis method of core technology cluster based on dynamic patent directed network.