在数字经济蓬勃发展的背景下，数据要素已成为驱动经济增长与技术创新的重要生产要素，并逐渐成为连接城市间知识流动的关键媒介。文章基于2010年-2022年中国275个地级市专利引用数据测度城市知识流动水平，以国家大数据综合试验区政策为准自然实验，分析数据要素对城市间知识流动的影响。同时，引入社会网络分析方法构建城市创新网络，从创新网络视角探讨数据要素促进知识流动的作用机制及其异质性。研究发现，试验区建设显著提升了城市知识吸收与扩散能力，通过增强创新协同水平促进城市间知识流动，并且对创新网络不同位置城市的影响存在差异。研究丰富了数据要素与知识流动关系的研究，并为构建数据要素市场、优化创新网络与推进区域知识治理提供了政策参考。

As the digital economy expands, data has become a key production factor shaping economic growth and technological progress, and an important medium linking knowledge flows across cities. Using patent citation data for 275 Chinese cities from 2010 to 2022, this study examines how data factors influence intercity knowledge flows. The establishment of National Big Data Comprehensive Pilot Zones serves as a quasi-natural experiment, and social network analysis is applied to construct urban innovation networks and uncover the underlying mechanisms. Results show that the pilot zones significantly strengthen cities’ knowledge absorption and diffusion abilities and promote intercity knowledge flows by enhancing collaborative innovation. The effects also differ across cities occupying different positions in the innovation network. These findings deepen the understanding of how data factors shape knowledge flows and offer policy insights for building a data-factor market, improving innovation networks, and advancing regional knowledge governance in the digital era.