| 人工智能产业技术标准合作网络演化与主体识别:基于社会网络分析法与TOPSIS熵权法 |
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| 引用本文： | 刘思薇,周立军,杨静,虎陈霞.人工智能产业技术标准合作网络演化与主体识别:基于社会网络分析法与TOPSIS熵权法[J].科技管理研究,2022(6):143-152. |
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| 作者姓名： | 刘思薇 周立军 杨静 虎陈霞 |
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| 作者单位： | 中国计量大学,中国计量大学,中国计量大学,中国计量大学 |
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| 基金项目： | 国家社会科学基金重点项目、新工业革命背景下市场主导制定标准的形成机制研究、17AGL001 |
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| 摘 要： | 从标准合作网络中参与主体的重要性评估出发，探讨标准合作网络特征及演化规律和趋势。以我国人工智能产业技术标准为例，采用社会网络分析方法从萌芽期、成长期与成熟初期三阶段构建标准合作网络，基于度数中心度、中介中心度、接近中心度和特征向量中心度4个评价指标，通过TOPSIS熵权法识别我国人工智能产业技术标准重点发展领域的核心主体，分析核心主体类型及作用的演变。结果发现：目前，我国人工智能产业技术标准的发展正处于成熟初期，合作网络规模不断扩大，合作深度有待提升；标准制定参与主体类型呈多元化趋势，研究机构发挥作用的方式由主导演变为中介联结，企业与高校分别成为人工智能产业重点发展领域和新兴领域标准制定中的核心主体；我国人工智能产业标准合作网络呈现以中国电子技术标准化研究院为中心向四周发散、企业占据核心主导地位的多团体交叉型结构。
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| 关 键 词： | 人工智能产业 技术标准 社会网络分析 合作网络 TOPSIS熵权法 |
| 收稿时间： | 2021/9/4 0:00:00 |
| 修稿时间： | 2022/3/20 0:00:00 |
Evolution of Standard Cooperation Network and Subject Identification in Artificial Intelligence Industry Technical Standard: Based on Social Network Analysis and TOPSIS Entropy Weight Method |
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| Abstract: | Based on the importance evaluation of the participants in standard cooperative network, this paper discusses the characteristics and trends of standard cooperative network. Taking China''s AI industry technology standard as an example, the paper uses social network analysis to construct the cooperation network in three stages of infancy, growth and maturity, then, based on four evaluation indicators of degree centrality, intermediary centrality, proximity centrality and feature vector centrality, uses the entropy weight TOPSIS method to identify the core subjects in the key development fields of AI industry technical standards, and to analyze the evolution of their types and functions. The result shows that: at present, the development of technical standards of China''s AI industry is in the early stage of maturity, the scale of cooperation network continues to expand, and the depth of cooperation needs to be improved; the types of participants in the standard formulation are diversified, the way in which research institutions play a role has evolved from leading to intermediary linkage, and enterprises and universities have become the core subjects in the standard formulation in key development fields and emerging fields of AI industry; China''s AI industry standard cooperation network presents a multi-group cross-cutting structure in which China Institute of Electronic Technology Standardization serves as the center, spreading to the surrounding areas, and the enterprise occupies the core dominance. |
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| Keywords: | artificial intelligence industry technical standards social network analysis cooperative network entropy weight TOPSIS method |
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