以1994－2018年间我国芯片产业合作专利数据为例，运用社会网络分析法，分别从静态和动态视角对芯片产业专利合作网络的结构特征及演化规律进行分析。研究表明：我国芯片产业合作网络呈现出明显的核心-边缘特征，网络整体效率和同步能力不足，韧性和可靠性较低，网络具有无标度特征，网络整体规模不断增大，但密度不断下降，网络会更加松散；不同类型主体在合作网络中的地位具有显著差异，企业的影响力最高、高校次之，科研机构不具备明显的中心性。因此，企业应当充分发挥自己在网络中的信息和资源优势，开展与高校和研究机构的合作；高校应立足于实际，发挥自身在基础理论研究方面的优势，寻求与企业合作，促进科技成果转化；科研机构应当积极与企业和高校合作，投身于合作网络中，提升自身的影响力。

This paper takes the data of Chinese chip industry cooperation patents from 1994 to 2018 as an example, and uses the social network analysis method to analyze the structural characteristics and evolution laws of the chip industry patent cooperation network from static and dynamic perspectives. The research shows that：The cooperative network has obvious core-edge characteristics, the overall network efficiency and synchronization ability is insufficient, the toughness and reliability are low, and the network has no scale characteristics; The overall scale of the network is increasing, but the density is decreasing, the network will be looser; The status of different types of subjects in the cooperation network has significant differences, the influence of enterprises is the highest, universities are second, and research institutions do not have obvious centrality. Therefore, enterprises should give full play to their advantages in information and resources in the network, and cooperate with universities and research institutions; universities should be based on reality, give full play to their advantages in basic theoretical research, seek cooperation with enterprises, and promote the transformation of scientific and technological achievements ; Scientific research institutions should actively cooperate with enterprises and universities, devote themselves to the cooperation network, and enhance their influence.

F416.63；F406.3；F224.33；G301

教育部人文社会科学基金项目“基于集群网络结构视角的高技术产业集群风险演化及控制体系研究”（15YJCZH114）；北京市社会科学“北京核心信息技术产业培育研究”(18GLB028)