J* E* C* N* U* N* S* ›› 2025, Vol. 2025 ›› Issue (5): 25-31.doi: 10.3969/j.issn.1000-5641.2025.05.003

• AI-Enabled Open Source Technologies and Applications • Previous Articles     Next Articles

Liquidity design for ecological industries in the large language model era: Analysis of liquidity elements represented by open-source communities

Xudong REN1(), Zhipeng HUANG1,*(), Jiaheng PENG2, Wei WANG2   

  1. 1. Huawei Technologies Co. Ltd., Shenzhen, Guangdong 518000, China
    2. School of Data Science and Engineering, East China Normal University, Shanghai 200062, China
  • Received:2025-01-22 Accepted:2025-06-23 Online:2025-09-25 Published:2025-09-25
  • Contact: Zhipeng HUANG E-mail:renxudong@huawei.com;huangzhipeng@huawei.com

Abstract:

With the development of the digital economy, the explosion of mobile Internet, and the rise of cloud business models, ecological industries have shown significant vitality in the capital market. This article explores the “liquidity” element of the ecological industry, analyzes its value and role in building the ecological industry, and proposes suggestions for building an ecological industry cluster around open-source communities and open-source talents as the core. By formulizing an equation for “open-source index,” for the first time, the article provides a method that can quantitatively identify the importance of the open-source ecosystem for building the industrial ecology. Finally, the article proposes specific strategies and improvement suggestions based on the domestic mainstream ecological industry development cases of open-source ecological construction. For future work, the article identifies several directions, including but not limited to quantified liquidity study of the industrial ecology, cross industry collaboration, policy and legal environment, and security.

Key words: ecological industry, liquidity, open-source community, artificial intelligence, programs and algorithms

CLC Number: