基于主题生命周期与技术熵的石墨烯技术主题演化研究
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摘要
[目的/意义]全面、精准地揭示石墨烯领域技术发展轨迹和发展态势,对在石墨烯产业中取得主动、占据先机、谋求更好发展具有重要意义。[方法/过程]研究从技术主题演化入手,以融入主题生命周期和技术熵要素的分析方法来探析石墨烯技术演化脉络,在全面挖掘技术变迁过程的同时深入考虑主题在演化中的状态、发育情况以及演化强度、方向,最后,通过主题状态、主题演化强度变化及主题内容三个维度进行全面分析。[结果/结论]研究表明石墨烯领域在经历早期的技术波动后现已进入快速成长阶段,政策因素是今后把控技术创新方向的重要参考;石墨烯领域的研究重心多集中产业链的基础研究和应用研究上;技术方向已趋于稳定,未来技术研究方向的广度可变性不大,但将会不断深化。
[Purpose/Significance]It is of great significance to comprehensively and accurately reveal the development track and development trend of the technology in the field of graphene in an effort to take the first chance and initiatively seek better development in the industry of graphene.[Method/Process]This paper starts from the evolution of technical topics and analyzes the evolution of graphene technology by integrating the analysis methods of the topic life cycle and technology entropy elements. While comprehensively mining the process of technology change, it deeply takes the state, development and evolution intensity, and direction of the topic in evolution into consideration. And finally, a comprehensive analysis through the three dimensions of theme state, theme evolution intensity change and theme content is given.[Result/Conclusion] The research indicates that the graphene field has entered a stage of rapid growth after experiencing early technological fluctuations, and the policy factor is an important reference for controlling the direction of technological innovation in the future. The research focus in the graphene field is concentrated on the basic research and application research of the industrial chain. The technical direction has stabilized, and the technology research directions will not change a lot in the future, but it will continue to deepen.
[Purpose/Significance]It is of great significance to comprehensively and accurately reveal the development track and development trend of the technology in the field of graphene in an effort to take the first chance and initiatively seek better development in the industry of graphene.[Method/Process]This paper starts from the evolution of technical topics and analyzes the evolution of graphene technology by integrating the analysis methods of the topic life cycle and technology entropy elements. While comprehensively mining the process of technology change, it deeply takes the state, development and evolution intensity, and direction of the topic in evolution into consideration. And finally, a comprehensive analysis through the three dimensions of theme state, theme evolution intensity change and theme content is given.[Result/Conclusion] The research indicates that the graphene field has entered a stage of rapid growth after experiencing early technological fluctuations, and the policy factor is an important reference for controlling the direction of technological innovation in the future. The research focus in the graphene field is concentrated on the basic research and application research of the industrial chain. The technical direction has stabilized, and the technology research directions will not change a lot in the future, but it will continue to deepen.
引文
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[22] 廖列法,勒孚刚. 基于LDA模型和分类号的专利技术演化研究[J]. 现代情报,2017,37(5):13-18.
[23] Kim E, Cho Y, Kim W. Dynamic patterns of technological convergence in printed electronics technologies:Patent citation network[J]. Scientometrics, 2014, 98(2):975-998.
[24] 中国国家标准化管理委员会.《石墨烯材料的术语、定义及代号》[EB/OL]. [2016-04-05]. http://www.sac.gov.cn/sgybzyb/gzdt/bzzxd1/201604/P020160405558545497941.pdf.
[25] Alwarappan S, Kumar A. Graphene-based materials:Science and technology[J].Crc Press, 2013.
[26] 陈斌,马静. 基于HLDA—IDF模型的网络文本主题挖掘研究[J]. 情报理论与实践, 2017, 40(10):117-122.
[27] 田晶,张超. 石墨烯产业发展综述[J]. 江苏科技信息, 2016(7):22-24.
[28] 任红轩,万菲, 窦凯飞. 石墨烯专利及发展态势分析[J]. 新材料产业, 2015(11):21-23.
[29] 国家自然科学基金委员会.《2013年度国家自然科学基金委员会与香港研究资助局联合科研基金项目批准通知》[EB/OL]. [2013-11-01]. http://www.nsfc.gov.cn/publish/portal0/tab442/info61689.htm.
[2] 戴岳. 鲁企试破石墨烯应用“梗阻”[N].经济导报,2016-03-21.
[3] 刘欣欣, 王小平, 王丽军,等. 石墨烯的研究进展[J]. 材料导报, 2011, 25(23): 92-97.
[4] Frazier R M, Hough W L, Chopra N, et al. Advances in graphene-related technologies:Synthesis, devices and outlook[J]. Recent Patents on Nanotechnology, 2012, 6(2):78-98
[5] 赵义强, 于丽娜, 蒋涛.石墨烯全球专利申请态势分析[J]. 技术与市场, 2014(11):219-223.
[6] 李登杰, 翟东升, 冯秀珍,等. 基于动态网络的石墨烯专利技术分析[J]. 情报杂志, 2015,34(10):52-58.
[7] Pham C H, Fayerberg R. Current trends in patenting graphene and graphene-based inventions[J]. 2011(8):10-17
[8] 方曙, 胡正银, 庞弘燊,等. 基于专利文献的技术演化分析方法研究[J]. 图书情报工作, 2011, 55(22):42-46.
[9] Kwon S, Porter A, Youtie J. Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents:Graphene and nano-enabled drug delivery[J]. Scientometrics, 2016, 106(3):1057-1071.
[10] 吴菲菲, 张亚茹, 黄鲁成,等. 基于AToT模型的技术主题多维动态演化分析——以石墨烯技术为例[J]. 图书情报工作, 2017(5):95-102.
[11] 房华龙, 王艳坤. 专利技术分析方法探讨[J]. 中国发明与专利, 2011(1):77-81.
[12] 祝娜, 王芳. 基于主题关联的知识演化路径识别研究——以3D打印领域为例[J]. 图书情报工作, 2016(5):101-109.
[13] 李春燕. 基于专利信息分析的技术生命周期判断方法[J]. 现代情报, 2012, 32(2):98-101.
[14] 刘东霞, 陈红. 煤炭液化技术研发趋势、生命周期、前沿技术与影响因素——基于专利的视角[J]. 情报杂志, 2017, 36(7):52-58.
[15] 沈君. 专利技术主题的知识网络研究[M]. 北京:知识产权出版社, 2014.
[16] 伊惠芳, 吴红, 马永新,等. 基于LDA和战略坐标的专利技术主题分析——以石墨烯领域为例[J].情报杂志,2018,37(5):97-102.
[17] 周艳, 蒲筱哥. 熵权TOPSIS模型在数据库绩效评价中的应用研究[J]. 图书情报工作, 2014, 58(8).
[18] 侯剑华, 郭爽. 基于专利的技术熵分析法及其在新兴技术监测中的应用研究——以碳捕集技术为例[J]. 现代图书情报技术, 2017, 1(1):55-63.
[19] Shannon C E. A mathematical theory of communication:The bell system technical journal[J]. Journal of the Franklin Institute, 1938, 196(4):519-520.
[20] Blei D M, Ng A Y, Jordan M I. Latent dirichlet allocation[J]. Journal of machine learning research, 2003, 3(4/5):993-1022.
[21] 李保利, 杨星. 基于LDA模型和话题过滤的研究主题演化分析[J]. 小型微型计算机系统, 2012, 33(12):2738-2743.
[22] 廖列法,勒孚刚. 基于LDA模型和分类号的专利技术演化研究[J]. 现代情报,2017,37(5):13-18.
[23] Kim E, Cho Y, Kim W. Dynamic patterns of technological convergence in printed electronics technologies:Patent citation network[J]. Scientometrics, 2014, 98(2):975-998.
[24] 中国国家标准化管理委员会.《石墨烯材料的术语、定义及代号》[EB/OL]. [2016-04-05]. http://www.sac.gov.cn/sgybzyb/gzdt/bzzxd1/201604/P020160405558545497941.pdf.
[25] Alwarappan S, Kumar A. Graphene-based materials:Science and technology[J].Crc Press, 2013.
[26] 陈斌,马静. 基于HLDA—IDF模型的网络文本主题挖掘研究[J]. 情报理论与实践, 2017, 40(10):117-122.
[27] 田晶,张超. 石墨烯产业发展综述[J]. 江苏科技信息, 2016(7):22-24.
[28] 任红轩,万菲, 窦凯飞. 石墨烯专利及发展态势分析[J]. 新材料产业, 2015(11):21-23.
[29] 国家自然科学基金委员会.《2013年度国家自然科学基金委员会与香港研究资助局联合科研基金项目批准通知》[EB/OL]. [2013-11-01]. http://www.nsfc.gov.cn/publish/portal0/tab442/info61689.htm.