基于合作全球图的专利国际合作分析

科研管理 ›› 2015, Vol. 36 ›› Issue (3): 79-83.

基于合作全球图的专利国际合作分析

刘胜奇, 朱东华, 汪雪锋, 马婷婷

北京理工大学管理与经济学院, 北京 100081

收稿日期:2013-11-27 修回日期:2014-07-08 出版日期:2015-03-25 发布日期:2015-03-20
作者简介:刘胜奇(1978-),男(汉),四川岳池人,北京理工大学管理与经济学院博士生,研究方向:可视化、科技数据挖掘、自然语言理解、市场设计。
朱东华(1963-),男(汉),广东梅州人,北京理工大学管理与经济学院教授,研究方向:技术监测、数据挖掘、技术创新管理、两化融合。
汪雪锋(1977-),男(汉),湖北荆门人,北京理工大学管理与经济学院副教授,研究方向:技术创新管理、科技评估、数据挖掘、知识产权战略。
马婷婷(1984-),女(汉),湖南湘潭人,北京理工大学管理与经济学院博士生,研究方向:技术评价与文本挖掘。
基金资助:
技术基础科研项目(基金号:Q172011A001,2012-2013)。

International collaboration in patent based on global collaboration maps

Liu Shengqi, Zhu Donghua, Wang Xuefeng, Ma Tingting

School of Management & Economics, Beijing Institute of Technology, Beijing 100081, China

Received:2013-11-27 Revised:2014-07-08 Online:2015-03-25 Published:2015-03-20

摘要/Abstract

摘要： 为辅助国际合作分析与管理,提出合作全球图。经过分析现有网络图、网络地理组合图,合作全球图将合作网络图融合全球地理图,以点的大小表示合作次数,用边揭示合作行为,在全球地理图上完整显示国际合作网络信息。实验表明,锂电池专利合作全球网络中,国家合作被北美合作网络、西欧合作网络、东亚合作网络主宰,美国、德国、法国、日本、韩国、中国是当之无愧的六强霸主,Centre Nat,Univ Tsinghua分别位居申请人合作的冠亚军。由此可见,合作全球图有助于国际合作分析、国际合作管理等。

关键词: 合作全球图, 专利, 国际化, 地理, 网络

Abstract: This paper proposed the global collaboration maps in order to help analyze and govern international collaboration. By analyzing the characteristics of maps that can be done by using some existing methodologies in the literature for network mapping and geographic overlay mapping, some methods in global collaboration maps are applied for the sake of displaying the global collaboration network on the global geographic map: ⑴ to overlay the collaboration network on the global geographic map in order to bridge the network map and the geographic map; ⑵ to scale the node seizes in order to reveal the number of collaboration; ⑶ to use edges to exhibit the fruitful collaborations. The simulation results of international collaboration analysis of lithium battery based on global collaboration maps of patent show: ⑴ it can vividly reveal that the core group of collaborating nations is dominated by the subsets of research-intensive North America, Western-European and Eastern-Asian; ⑵ it can help recognize that the six power nations are US, Germany, France, Japan, Korea and China; ⑶ it can exhibit that Centre Nat is champion and Univ Tsinghua is runner-up. Thus it can be seen that global collaboration maps may offer help in global collaboration analysis, global collaboration government, etc.

Key words: global collaboration maps, patent, internationalization, geography, network

中图分类号:

G306.0

刘胜奇, 朱东华, 汪雪锋, 马婷婷. 基于合作全球图的专利国际合作分析[J]. 科研管理, 2015, 36(3): 79-83.

Liu Shengqi, Zhu Donghua, Wang Xuefeng, Ma Tingting. International collaboration in patent based on global collaboration maps[J]. Science Research Management, 2015, 36(3): 79-83.

参考文献

[1] Krzysztofiak Jasiek. Global mobility: Science mapped out [J]. Nature, 2012, 490: 325. [2] Wuchty S, Jones B F, Uzzi B. The increasing dominance of teams in production of knowledge[J]. Science, 2007, 316(5827): 1036-1039. [3] Adams J. Collaborations: The rise of research networks[J]. Nature, 2012,490:335-336. [4] Eduardo Arzt.Biomedical network in South America[J]. Nature, 2012, 491: 333. [5] TA Manolio.New models of collaboration in genome-wide association studies: Thegenetic association information network[J].Nature Genetics, 2007, 39(9): 1045-1051. [6] Gibbons M, Limoges C, Nowotny H. The new production of knowledge: The dynamics of science and research in contemporary societies[M]. London: Sage, 1994. [7] Melissa A Schilling, Corey C Phelps. Interfirmcollaboration networks: The impact of large-scale network structure on firm innovation[J]. Management Science, 2007, 53(7): 1113-1126. [8] Powell WW, White DR, Koput KW.Network dynamics and field evolution:The growth of interorganizational collaboration in the Life sciences[J]. American Journal of Sociology, 2005, 110: 1132-1205. [9] Small H, Griffith B. Thestructure of scientific literature[J]. Science Studies, 1974, 4: 17-40. [10] Callon M, Courtial J P, Turner W A, et al. Fromtranslations to problematic networks: An introduction to co-word analysis[J]. Social Science Information, 1983, 22: 191-235. [11] Donghua Zhu, Porter A L. Automated extraction and visualization of information for technological intelligence and forest [J]. Technological Forecasting & Social Change, 2002, 69(2002): 495-506. [12] Price D. Networks of scientific papers[J]. Science, 1965, 149: 510- 515. [13] Kruskal J B, Wish M. Multidimensionalscaling[J]. Beverly Hills, CA: Sage Publications,1978. [14] Kamada T, Kawai S. An algorithm for drawing general undirected graphs[J]. Information Processing Letters, 1989, 31(1): 7-15. [15] Raj Kumar Pan, Kimmo Kaski, Santo Fortunato. World citation and collaboration networks: Uncovering the role of geography in science[R]. Scientific Reports, 2012, 2: 902. [16] Chen C. Mappingscientific frontiers: The quest for knowledge visualization[J]. London: Springer, 2003. [17] Chen C, Cribbin T, Macredie R, et al. Visualizing and tracking the growth of competing paradigms:Two case studies[J]. Journal of the American Society for Information Science and Technology, 2002, 53(8): 678-689. [18] Gastner M, Newman M. Diffusion-based method for producing density-equalizing maps [J]. Proceedings of the National Academy of Sciences, USA, 2004, 101: 7499.