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数据分析与知识发现  2022, Vol. 6 Issue (6): 1-10     https://doi.org/10.11925/infotech.2096-3467.2021.0915
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
基于专利数据的技术主题扩散量化研究与实现*
王丽,刘细文()
中国科学院文献情报中心 北京 100190
中国科学院大学经济与管理学院图书情报与档案管理系 北京 100190
Measuring Diffusion of Technology Topics with Patent Data
Wang Li,Liu Xiwen()
National Science Library, Chinese Academy of Sciences, Beijing 100190, China
Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
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摘要 

【目的】 基于专利数据对技术主题扩散进行量化研究,为提前发现或预判技术扩散提供线索。【方法】 以技术主题为研究单元,基于专利引用关系构建技术扩散关系;融合技术扩散的强度、速度、广度等三个维度构建技术扩散综合测度指标;在此基础上,实现技术主题扩散量化测度模型。【结果】 从石墨烯领域100个技术主题的扩散分析来看,模型可以快速遴选综合扩散度高的技术主题,如多种石墨烯制备方法、“石墨烯用于晶体管”等;模型的生成结果还包括扩散的具体方向,如“石墨烯用于散热”主题向“腔壳设备”等主题强力扩散,向“含锂复合氧化物”等主题快速扩散。【局限】 对三个维度的技术扩散测度指标进行了线性归一化,未深入研究各指标权重。未来可以根据情报应用目的优化各指标的权重值,提升综合测度指标的鲁棒性。【结论】 综合测度优化了单一扩散指标测度的不均衡性,技术主题扩散测度模型可以快速生成有效的情报信息。

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王丽
刘细文
关键词 技术扩散专利数据主题模型测度指标石墨烯    
Abstract

[Objective] This paper tries to quantify the diffusion of technology topics based on patent data, aiming to predict their dissemination in advance. [Methods] First, we constructed the technology diffusion relationship with the patent citation data. Then,we constructed a comprehensive measuring index for technology diffusion from their strength, speed and breadth. Finally, we built the model measuring technology topic diffusion. [Results] We examined our model with 100 topics in the graphene field, which quickly identified topics with high comprehensive diffusion scores. We also found the diffusion directions of graphene patents. [Limitations] We only normalized three measuring indice for technology diffusion with Min-Max Scaling, while their weights not beening optimized for the applications. [Conclusions] The proposed model could help us find intelligence effectively with the help of multiple measurements.

Key wordsTechnology Diffusion    Patent Data    Topic Model    Measuring Index    Graphene
收稿日期: 2021-08-27      出版日期: 2022-07-28
ZTFLH:  TP393  
基金资助:*国家科技图书文献中心基金项目(2021XM59)
通讯作者: 刘细文, ORCID:0000-0003-0820-3622     E-mail: liuxw@mail.las.ac.cn
引用本文:   
王丽, 刘细文. 基于专利数据的技术主题扩散量化研究与实现*[J]. 数据分析与知识发现, 2022, 6(6): 1-10.
Wang Li, Liu Xiwen. Measuring Diffusion of Technology Topics with Patent Data. Data Analysis and Knowledge Discovery, 2022, 6(6): 1-10.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2021.0915      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2022/V6/I6/1
Fig.1  技术扩散关系示意图
Fig.2  研究框架
Fig.3  技术扩散测度模型返回的技术主题扩散指标总表(示例)
Fig.4  石墨烯技术主题分布图
Fig.5  石墨烯技术扩散主题分布图
排名 石墨烯技术主题 技术产生年(平均) 技术
扩散度
扩散
强度
扩散
速度
扩散
广度
扩散主题(按强度)TOP 3 扩散主题(按速度)TOP 3
1 O_37:石墨烯
微片制备
2013 2.11 0.50 0.99 0.61 D_5:聚合物复合材料工艺
D_48:电池电极
D_34:碳纳米管
D_95:生物牙传感器
D_92:偏光板的粘合膜
D_93:保温杯
2 O_67:石墨烯
用于晶体管
2013 2.03 0.72 0.81 0.50 D_29:半导体器件(晶体管)
D_47:石墨烯薄膜
D_18:衬底结构
D_0:3d打印增强丝
D_21:发光元件
D_69:能量吸收装置
3 O_45:微波还原法
制备石墨烯
2013 2.02 0.18 0.85 1.00 D_47:石墨烯薄膜
D_48:电池电极
D_5:聚合物复合材料工艺
D_98:LED器件
D_35:生产生物燃料
D_32:(藻类)蛋白提取
4 O_13:石墨烯层基器件
(传感器、探测器等)
2014 1.99 0.27 0.88 0.83 D_27:传感器
D_10:纳米孔传感/探测器
D_29:半导体器件(晶体管)
D_92:偏光板的粘合膜
D_74:纳米管织物层
D_93:保温杯
5 O_28:氧化还原法
制备石墨烯
2015 1.98 1.00 0.92 0.06 D_82:石墨烯复合材料
D_79:石墨烯原材料配比
D_30:石墨烯成本问题
D_97:细胞培养
D_94:信息存储单元
D_95:生物牙传感器
6 O_79:金属/铜基体
生长石墨烯薄膜
2013 1.92 0.59 0.83 0.50 D_47:石墨烯薄膜
D_82:石墨烯复合材料
D_29:半导体器件(晶体管)
D_92:偏光板的粘合膜
D_52:热致发声装置
D_94:信息存储单元
7 O_57:石墨烯核壳
结构材料
2014 1.90 0.04 0.92 0.94 D_82:石墨烯复合材料
D_34:碳纳米管
D_47:石墨烯薄膜
D_96:PCB/LED散热
D_93:保温杯
D_95:生物牙传感器
8 O_3:石墨烯用于
散热/热管理
2015 1.88 0.17 0.99 0.72 D_4:腔壳设备
D_27:传感器
D_82:石墨烯复合材料
D_49:含锂复合氧化物
D_88:二维材料复合膜制备
D_87:加热元件
9 O_9:超级电容
电极材料
2014 1.88 0.34 0.92 0.61 D_48:电池电极
D_82:石墨烯复合材料
D_5:聚合物复合材料工艺
D_97:细胞培养
D_0:3d打印增强丝
D_98:LED器件
10 O_12:电池
负极材料
2014 1.80 0.59 0.93 0.28 D_48:电池电极
D_82:石墨烯复合材料
D_5:聚合物复合材料工艺
D_74:纳米管织物层
D_95:生物牙传感器
D_52:热致发声装置
Table 1  石墨烯领域的技术主题扩散分析(TOP 10)
Fig.6  基于引用关系数据的技术主题扩散
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