共被引分析方法迭代创新路径研究

doi:10.3772/j.issn.1000-0135.2020.01.002

情报学报

2020, Vol. 39

Issue (1): 12-24 DOI: 10.3772/j.issn.1000-0135.2020.01.002

情报理论与应用

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共被引分析方法迭代创新路径研究

宋歌^1,2

1.东南大学图书馆情报科学技术研究所，南京 210096
2.东南大学经济管理学院，南京 210096

Research on Iterative Innovation Path of Co-citation Analysis Method

Song Ge^1,2

1.The Institution of Information Science & Technology, Southeast University, Nanjing 210096
2.School of Economics & Management, Southeast University, Nanjing 210096

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摘要科研领域的迭代创新是一项原始创新得以扩散和发展的主要创新形式。该研究以共被引分析方法为典型案例，探索科研领域迭代创新的基本特征。通过对共被引分析方法迭代创新的整体趋势、创新阶段、迭代路径和跨学科迭代创新的分析，发现其特征包括对原始创新核心内容的不断调用以及对相关知识的引进与整合；面向问题的反复调整迭代；微创新的累积促生原始创新；在迭代创新形成规模之前存在“沉寂期”；学科间的广泛扩散不仅促进迭代创新，而且不同学科在迭代创新中的“角色”不同，存在创新源发学科、创新助力学科和创新采纳学科；另外，持续的迭代创新有赖于外部环境的支撑。

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	宋歌

关键词 ：科研创新, 共被引分析, 迭代创新, 创新路径

收稿日期: 2019-01-30

基金资助:国家社会科学基金项目“学术创新扩散过程及创新力测度研究”（15CTQ027）。

作者简介: 宋歌，女，1980年生，副研究馆员，硕士生导师，主要研究领域为科学计量与学术评价，E-mail: songge.2000@163.com。

引用本文:

宋歌. 共被引分析方法迭代创新路径研究[J]. 情报学报, 2020, 39(1): 12-24.
Song Ge. Research on Iterative Innovation Path of Co-citation Analysis Method. 情报学报, 2020, 39(1): 12-24.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2020.01.002 或 https://qbxb.istic.ac.cn/CN/Y2020/V39/I1/12

1 王建芳, 冷伏海. 共引分析理论与实践进展[J]. 中国图书馆学报, 2006, 32(1): 85-88.
2 Kessler M M. Bibliographic coupling between scientific papers[J]. American Documentation, 1963, 14(1): 10-25.
3 Small H. Co-citation in scientific literature: A new measure of the relationship between two documents[J]. Journal of the American Society for Information Science, 1973, 24(4): 265-269.
4 张腾, 王迎军. 迭代式创新的研究与实践发展[J]. 现代管理科学, 2016(10): 100-102.
5 Fitzgerald E, Wankerl A, Schramm C. Inside real innovation: How the right approach can move ideas from R&D to market—and get the economy moving[M]. Singapore: World Scientific Publishing, 2011: 36-42.
6 黛安娜·克兰. 无形学院——知识在科学共同体的扩散[M]. 刘珺珺, 顾昕, 王德禄, 译. 北京:华夏出版社, 1988: 63-64.
7 宋歌. 学术创新的扩散过程研究[J]. 中国图书馆学报, 2015, 41(1): 62-75.
8 罗杰斯. 创新的扩散[M]. 辛欣, 译. 北京: 中央编译出版社, 2002: 86-90.
9 Otte E, Rousseau R. Social network analysis: a powerful strategy, also for the information sciences[J]. Journal of Information Science, 2002, 28(6): 441-453.
10 Chen C M. CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature[J]. Journal of the American Society for Information Science and Technology, 2006, 57(3): 359-377.
11 Small H. A co-citation model of a scientific specialty: A longitudinal-study of collagen research[J]. Social Studies of Science, 1977, 7(2): 139-166.
12 Small H, Greenlee E. Citation context analysis of a co-citation cluster: Recombinant-DNA[J]. Scientometrics, 1980, 2(4): 277-301.
13 Small H. Co-citation context analysis and the structure of paradigms[J]. Journal of Documentation, 1980, 36(3): 183-196.
14 Small H. The relationship of information-science to the social-sciences: A co-citation analysis[J]. Information Processing & Management, 1981, 17(1): 39-50.
15 Small H. Macro-level changes in the structure of co-citation clusters: 1983-1989[J]. Scientometrics, 1993, 26(1): 5-20.
16 Small H. A Sci-Map case-study: Building a map of AIDS research[J]. Scientometrics, 1994, 30(1): 229-241.
17 White H D, Griffith B C. Author cocitation: A literature measure of intellectual structure[J]. Journal of the American Society for Information Science, 1981, 32(3): 163-171.
18 McCain K W. Mapping economics through the journal literature: An experiment in journal co-citation analysis[J]. Journal of the American Society for Information Science, 1991, 42(4): 290-296.
19 Mogee M E, Kolar R G. Patent co-citation analysis of Eli Lilly & Co. patents[J]. Expert Opinion on Therapeutic Patents, 1999, 9(3): 291-305.
20 Moya-AnegónF, Vargas-QuesadaB, Herrero-SolanaV, et al. A new technique for building maps of large scientific domains based on the cocitation of classes and categories[J]. Scientometrics, 2004, 61(1): 129-145.
21 Porter A L, RafolsI. Is science becoming more interdisciplinary? Measuring and mapping six research fields over time[J]. Scientometrics, 2009, 81(3): 719-745.
22 Su Y M, Hsu P Y, PaiN Y. An approach to discover and recommend cross-domain bridge-keywords in document banks[J]. The Electronic Library, 2010, 28(5): 669-687.
23 White H D, GriffithB C. Authors as markers of intellectual space: Co-citation in studies of science, technology and society[J]. Journal of Documentation, 1982, 38(4): 255-272.
24 Faba-Pérez C, Guerrero-Bote V P, de Moya-AnegónF. Data mining in a closed Web environment[J]. Scientometrics, 2003, 58(3): 623-640.
25 Park J, Seok S, Park H W. Web feature and co-mention analyses of open data 500 on education companies[J]. Journal of the Korean Data Analysis Society, 2016, 18(4): 2067-2078.
26 Prime C, Bassecoulard E, Zitt M. Co-citations and co-sitations: A cautionary view on an analogy[J]. Scientometrics, 2002, 54(2): 291-308.
27 McCainK W. Mapping authors in intellectual space: A technical overview[J]. Journal of the American Society for Information Science, 1990, 41(6): 433-443.
28 Zhao D Z. Towards all-author co-citation analysis[J]. Information Processing & Management, 2006, 42(6): 1578-1591.
29 Eom S. All author cocitation analysis and first author cocitation analysis: A comparative empirical investigation[J]. Journal of Informetrics, 2008, 2(1): 53-64.
30 Schneider J W, Larsen B, Ingwersen P. A comparative study of first and all-author co-citation counting, and two different matrix generation approaches applied for author co-citation analyses[J]. Scientometrics, 2009, 80(1): 103-130.
31 Chang C K N, Breitzman A. Using patents prospectively to identify emerging, high-impact technological clusters[J]. Research Evaluatio, 2009, 18(5): 357-364.
32 Jeong Y K, Song M, Ding Y. Content-based author co-citation analysis[J]. Journal of Informetrics, 2014, 8(1): 197-211.
33 Qiu J P, Dong K, Yu H Q. Comparative study on structure and correlation among author co-occurrence networks in bibliometrics[J]. Scientometrics, 2014, 101(2): 1345-1360.
34 Bu Y, Liu T Y, Huang W B. MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations[J]. Scientometrics, 2016, 108(1): 143-166.
35 Wang F F, Wang X H, Yang S L. Mining author relationship in scholarly networks based on tripartite citation analysis[J]. PLoS ONE, 2017, 12(11): e0187653.
36 Chen C M. Visualising semantic spaces and author co-citation networks in digital libraries[J]. Information Processing & Management, 1999, 35(3): 401-420.
37 Housner L D, Gomez R L, Griffey D C. Pedagogical knowledge structures in prospective teachers: Relationships to performance in a teaching methodology course[J]. Research Quarterly for Exercise and Sport, 1993, 64(2): 167-177.
38 White H D, McCain K W. Visualization of literatures[J]. Annual Review of Information Science and Technology, 1997, 32: 99-168.
39 White H D, McCain K W. Visualizing a discipline: An author co-citation analysis of information science, 1972-1995[J]. Journal of the American Society for Information Science, 1998, 49(4): 327-355.
40 Small H. Visualizing science by citation mapping[J]. Journal of the American Society for Information Science, 1999, 50(9): 799-813.
41 Chen C M. Visualising semantic spaces and author co-citation networks in digital libraries[J]. Information Processing & Management, 1999, 35(3): 401-420.
42 Small H, Sweeney E, Greenlee E. Clustering the science citation index using co-citations. II. Mapping Science[J]. Scientometrics, 1985, 8(5-6): 321-340.
43 Lin X. Map displays for information retrieval[J]. Journal of the American Society for Information Science, 1997, 48(1): 40-54.
44 Kohonen T. Self-organized formation of topologically correct feature maps[J]. Biological Cybernetics, 1982, 43(1): 59-69.
45 Chen C M, Ibekwe-SanjuanF, HouJ H. The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis[J]. Journal of the American Society for Information Science and Technology, 2010, 61(7): 1386-1409.
46 Boyack K W, Small H, Klavans R. Improving the accuracy of co-citation clustering using full text[J]. Journal of the American Society for Information Science and Technology, 2013, 64(9): 1759-1767.
47 Jeong Y K, Song M, Ding Y. Content-based author co-citation analysis[J]. Journal of Informetrics, 2014, 8(1): 197-211.
48 Lin X, White H D, BuzydlowskiJ. Real-time author co-citation mapping for online searching[J]. Information Processing & Management, 2003, 39(5): 689-706.
49 Teng J T C, Galletta D F. MIS research directions: A survey of researchers views[J]. ACM SIGMIS Database, 1991, 22(1-2): 53-62.
50 Eom S B. Mapping the intellectual structure of research in decision support systems through author cocitation analysis (1971-1993)[J]. Decision Support Systems, 1996, 16(4): 315-338.
51 Peteraf M, di Stefano G, Verona G. The elephant in the room of dynamic capabilities: Bringing two diverging conversations together[J]. Strategic Management Journal, 2013, 34(12): 1389-1410.
52 Dagnino G B, Levanti G, Minà A, et al. Interorganizational network and innovation: A bibliometric study and proposed research agenda[J]. Journal of Business & Industrial Marketing, 2015, 30(3-4): 354-377.
53 Zupic I, ?ater T. Bibliometric methods in management and organization[J]. Organizational Research Methods, 2015, 18(3): 429-472.
54 Leydesdorff L, Rafols I. A global map of science based on the ISI subject categories[J]. Journal of the American Society for Information Science and Technology, 2009, 60(2): 348-362.
55 Small H. Maps of science as interdisciplinary discourse: Co-citation contexts and the role of analogy[J]. Scientometrics, 2010, 83(3): 835-849.
56 步一, 刘天祎, 赵丹群, 等. 国外作者共引分析研究评述[J]. 情报杂志, 2015, 34(12): 48-53.