基于超网络的核心技术识别方法

Research on Core Technology Identification Based on Hypernetwork

[目的/意义]对特定技术领域的核心技术进行识别与分析,可以全面了解该领域的研究现状与发展趋势,为前沿技术研发和抢占科技制高点提供参考与建议。[方法/过程]引入超网络结构表征技术实体间的多元共现关系,利用超网络嵌入技术自动生成融合结构特征和属性特征的技术节点向量并通过模糊聚类得到技术集群,构建基于超网络结构的局部中心性、半局部中心性和全局中心性等度量指标,以识别每个技术集群中的核心技术节点。[结果/结论]以碳捕集、利用和封存技术领域为例,验证此方法的有效性和科学性,结果显示化学吸收、膜分离、固体吸附和低温分离等技术是该领域的核心技术,有助于我国合理配置资源、加大核心技术的研发力度以获取竞争优势。

[Purpose/Significance]Identifying and analyzing the core technology in a specific technical field can provide a comprehensive understanding of the research status and development in that field,and give suggestions for the cutting-edge technology research and acquisition.[Method/Process]It introduced a hypernetwork structure to characterize the multiple co-occurrence relationships between entities,automatically generated technology node vectors that integrate structural and attribute features with hypernetwork embedding,and obtained technology clusters through fuzzy clustering.It constructed some measures such as local neutrality,semi local centrality,and global centrality based on the hypernetwork structure to identify the core technology nodes in each technology cluster.[Result/Conclusion]Taking the field of carbon capture,utilization,and storage technology as an example,it verifies the effectiveness and scientificity of the method proposed in this article.The results show that chemical absorption,membrane separation,solid adsorption,and low-temperature separation are the core technologies in this field,which help allocate resources reasonably and improve the research of core technologies to gain competitive advantages in China.