Academic, government, and industry researchers have attempted to build some theoretical and empirical ways to understanding how to innovate and interact in data- driven contexts in recent years. However, it does not appear to go above and beyond our expectations in terms of offering fresh views and resources to investigate this trend in terms of measurement. In this brief study, I show how Dimensions.ai, a new academic big data resource, can be used to assess knowledge-based innovation processes in emerging and transitional countries like Vietnam. This article investigates creativity and collaboration in Ho Chi Minh City using a “n-tuple helix” framework based on Loet Leydesdorff’s sociological theory of communication. From a social network standpoint, I argued that a city’s innovation system is inextricably linked to its position in intercity and global co-authorship networks. This shows how the helix model and applications can be utilized to discover a data-driven society.

近年来，学术界、政府和行业研究人员试图建立一些理论和实证方法来理解如何在数据驱动的环境中进行创新和互动。然而，在提供新的观点和资源来研究这一趋势的衡量方面，它似乎并没有超出我们的预期。在这项简短的研究中，我展示了如何使用 Dimensions.ai 这一新的学术大数据资源来评估越南等新兴和转型国家基于知识的创新过程。本文使用基于 Loet Leydesdorff 的传播社会学理论的“n 元螺旋”框架来研究胡志明市的创造力和协作。从社交网络的角度来看，我认为一个城市的创新体系与其在城际和全球合作网络中的地位有着千丝万缕的联系。这展示了如何利用螺旋模型和应用程序来发现数据驱动的社会。