| 邢晓昭,袁芳,牟琳,李善青.基于动态网络位置的颠覆性技术识别方法[J].高技术通讯(中文),2023,33(2):198~207 |
| 基于动态网络位置的颠覆性技术识别方法 |
| Disruptive technology identification method based on dynamic network location |
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| DOI：10. 3772/ j. issn. 1002-0470. 2023. 02. 009 |
| 中文关键词: 颠覆性技术识别； 网络位置； 动态视角； 中心性指标； 颠覆类型 |
| 英文关键词: disruptive technology identification, network location, dynamic perspective, centrality index, types of disruption |
| 基金项目: |
| 作者 | 单位 | | 邢晓昭 | （中国科学技术信息研究所北京 100038） | | 袁芳 | （中国科学技术信息研究所北京 100038） | | 牟琳 | （中国科学技术信息研究所北京 100038） | | 李善青 | （中国科学技术信息研究所北京 100038） |
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| 中文摘要: |
| 根据颠覆性技术的发展特点，通过组合使用度中心性、中介中心性和接近中心性等网络指标，提出基于网络位置动态性的颠覆性技术识别方法，在技术没有造成显著市场变化时实现预警决策。首先基于论文关键词构建技术主题网络；其次计算每个主题节点的中心性指标并划分区间；最后定义4种网络初始位置，并根据网络位置的变化特征提出4种潜在的颠覆类型。以脑机接口领域论文数据开展实证，验证了该方法的可行性和有效性。 |
| 英文摘要: |
| According to the development characteristics of disruptive technology, by combining degree centrality, betweenness centrality and proximity centrality, a method for identifying and classifying disruptive technologies based on network location dynamics is proposed. This method is expected to give early warning and support decision making before the technology does cause significant market changes. First, a technical topic network is constructed based on the author keywords; second, the centrality index of each topic node is calculated and the network location is divied; last but not least,five initial network locations are defined and five potential disruptive types are proposed based on the change characteristics of the network location. The empirical data from the thesis in the field of brain-computer interface verify the feasibility and effectiveness of the method. |
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