科研合作中机构间科研主导力及邻近性机理

情报学报

2020, Vol. 39

Issue (2): 148-157

情报理论与应用

本期目录 | 过刊浏览 | 高级检索

科研合作中机构间科研主导力及邻近性机理

贺超城^1,2, 吴江^1,2, 魏子瑶^1,2, 刘福珍^1,2

1.武汉大学信息资源研究中心，武汉 430072
2.武汉大学电子商务研究与发展中心，武汉 430072

Research Dominance Between Institutions and Its Proximity Mechanism in Research Collaboration: A Case Study of China s Biomedical Field

He Chaocheng^1,2, Wu Jiang^1,2, Wei Ziyao^1,2, Liu Fuzhen^1,2

1.Center for Studies of Information Resources, Wuhan University, Wuhan 430072
2.Center for Chinese E-commerce Research and Development, Wuhan University, Wuhan 430072

摘要
图/表
参考文献
相关文章 (13)

全文: PDF (1424 KB) HTML (163 KB)
输出: BibTeX | EndNote (RIS)

摘要在学科紧密相关和信息资源相融的当代，探究科研合作的影响因素成了诸多学者关注的话题。然而，现有研究将各种合作关系视同一律，即两人发表一篇合著文章，便形成合作关系；同时，大部分研究没有系统地研究多维邻近性的影响。为此本文提出了“科研主导力”的概念与测度，并从多维邻近性出发系统地分析科研合作的影响因素。本文基于Web of Science（WoS）上2013—2017年的生物医学（Life Sciences & Biomedicine）领域中国境内科研机构发表的论文数据，采用社会网络分析和引力模型，揭示了中国境内生物医学领域的科研主导网络的网络拓扑特征与多维邻近性机制，发现科研主导力两极分化严重，分散程度提高，互惠程度提高；主导机构（通信作者所在机构）和参与机构（非通信作者所在机构）的累积科研主导力显著促进科研主导力的扩散，且主导机构的促进作用大于参与机构；地理距离会阻碍科研主导力的扩散；认知背景相似度越高，社会关系越密切，越能形成科研主导关系；同样的制度环境、文化环境可以促进科研主导关系的形成。本文对全面理解多样化的科研合作模式、演化及其影响因素提供借鉴意义，研究科研主导力的相关方法可以推广到其他领域中。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	贺超城
	吴江
	魏子瑶
	刘福珍

关键词 ：科研主导力, 科研合作, 引力模型, 社会网络分析, 邻近性分析

收稿日期: 2019-06-18

基金资助:国家自然科学基金面上项目“创新2.0超网络中知识流动和群集交互的协同研究”（71373194），“内容关系互动下的在线医疗社区用户行为演化研究”（71573197）。

作者简介: 贺超城，男，1993年生，博士研究生，研究方向为社会仿真、数据挖掘与数据分析

引用本文:

贺超城, 吴江, 魏子瑶, 刘福珍. 科研合作中机构间科研主导力及邻近性机理[J]. 情报学报, 2020, 39(2): 148-157.
He Chaocheng, Wu Jiang, Wei Ziyao, Liu Fuzhen. Research Dominance Between Institutions and Its Proximity Mechanism in Research Collaboration: A Case Study of China s Biomedical Field. 情报学报, 2020, 39(2): 148-157.

链接本文:

https://qbxb.istic.ac.cn/CN/ 或 https://qbxb.istic.ac.cn/CN/Y2020/V39/I2/148

1 刘承良, 桂钦昌, 段德忠, 等. 全球科研论文合作网络的结构异质性及其邻近性机理[J]. 地理学报, 2017, 72(4): 737-752.
2 FernándezA, FerrándizE, LeónM D. Proximity dimensions and scientific collaboration among academic institutions in Europe: The closer, the better?[J]. Scientometrics, 2016, 106(3): 1073-1092.
3 张雪, 张志强, 陈秀娟. 基于期刊论文的作者合作特征及其对科研产出的影响——以国际医学信息学领域高产作者为例[J]. 情报学报, 2019. 38(1): 29-37.
4 赵蓉英, 王旭, 亓永康. 我国世界一流大学建设高校间科研合作网络研究——基于CNKI和WoS数据的对比[J]. 情报理论与实践, 2018, 41(10): 1-7.
5 鲜果, 曾刚, 曹贤忠. 中国城市间创新网络结构及其邻近性机理[J]. 世界地理研究, 2018, 27(5): 139-146.
6 JeongS, ChoiJ Y, KimJ Y. On the drivers of international collaboration: The impact of informal communication, motivation, and research resources[J]. Science and Public Policy, 2013, 41(4): 520-531.
7 苏金燕. 我国人文社会科学合作的地域倾向研究——基于经济学期刊论文的计量分析[J]. 现代图书情报技术, 2013(10): 43-52.
8 汪志兵, 韩文民, 孙竹梅, 等. 基于网络拓扑结构与节点属性特征融合的科研合作预测研究[J]. 情报理论与实践, 2019, 42(8): 116-120, 109.
9 NewmanM E J. The structure of scientific collaboration networks[J]. Proceedings of the National Academy of Sciences of the United States of America, 2001, 98(2): 404-409.
10 HoekmanJ, ScherngellT, FrenkenK, et al. Acquisition of European research funds and its effect on international scientific collaboration[J]. Journal of Economic Geography, 2014, 13(1): 23-52.
11 SidoneO J G, HaddadE A, Mena-ChalcoJ P. Scholarly publication and collaboration in Brazil: The role of geography[J]. Journal of the Association for Information Science and Technology, 2017, 68(1): 243-258.
12 陈光华, 王烨, 杨国梁. 地理距离阻碍跨区域产学研合作绩效了吗?[J]. 科学学研究, 2015, 33(1): 76-82.
13 吕国庆, 曾刚, 顾娜娜. 基于地理邻近与社会邻近的创新网络动态演化分析——以我国装备制造业为例[J]. 中国软科学, 2014, 4(5): 97-106.
14 BoschmaR. Proximity and innovation: A critical assessment[J]. Regional Studies, 2005, 39(1): 61-74.
15 AcostaM, CoronadoD, FerrándizE, et al. The geography of university scientific production in Europe: An exploration in the field of Food Science and Technology[J]. Scientometrics, 2017, 112(1): 215-240.
16 ParreiraM R, MacHadoK B, LogaresR, et al. The roles of geographic distance and socioeconomic factors on international collaboration among ecologists[J]. Scientometrics, 2017, 113(3): 1539-1550.
17 PichiniS, PulidoM, óGarcía-Algar. Authorship in manuscripts submitted to biomedical journals: An author’s position and its value [J]. Science and Engineering Ethics, 2005, 11(2): 173-175.
18 HuX J, RousseauR, ChenJ. In those fields where multiple authorship is the rule, the h-index should be supplemented by role-based h-indices[J]. Journal of Information Science, 2010, 36(1): 73-85.
19 González-AlcaideG, ParkJ, HuamaníC, et al. Dominance and leadership in research activities: Collaboration between countries of differing human development is reflected through authorship order and designation as corresponding authors in scientific publications[J]. PLoS ONE, 2017, 12(8): e0182513.
20 边鸿宾, 邱长波, 张哲. 基于SSCI的社会科学国际合作中中国主导地位分析[J]. 情报科学, 2013, 31(8): 61-65.
21 岳晓旭, 袁军鹏, 黄萃, 等. 基于ESI学科分类的中国科研国际合作主导地位变迁分析[J]. 科学学与科学技术管理, 2018, 39(4): 3-17.
22 SekaraV, DevilleP, AhnertS E, et al. The chaperone effect in scientific publishing[J]. Proceedings of the National Academy of Sciences of the United States of America, 2018, 115(50): 12603-12607.
23 WangL L, WangX W. Who sets up the bridge? Tracking scientific collaborations between China and the European Union[J]. Research Evaluation, 2017, 26(2): 124-131.
24 WangW C, WuY S, PanY T. An investigation of collaborations between top Chinese universities: A new quantitative approach[J]. Scientometrics, 2014, 98(2): 1535-1545.
25 Moya-AnegónF, Guerrero-BoteV P, BornmannL, et al. The research guarantors of scientific papers and the output counting: A promising new approach[J]. Scientometrics, 2013, 97(2): 421-434.
26 Alvarez-BetancourtY, Garcia-SilventeM. An overview of iris recognition: a bibliometric analysis of the period 2000-2012[J]. Scientometrics, 2014, 101(3): 2003-2033.
27 MarshallA. Principles of economics: An introductory volume[M]. London: Macmillan, 1961: 58-60.
28 TorreA, RalletA. Proximity and localization[J]. Regional Studies, 2005, 39(1): 47-59.
29 党兴华, 弓志刚. 多维邻近性对跨区域技术创新合作的影响——基于中国共同专利数据的实证分析[J]. 科学学研究, 2013, 31(10): 1590-1600.
30 ScherngellT, HuY J. Collaborative knowledge production in China: Regional evidence from a gravity model approach[J]. Regional Studies, 2011, 45(6): 755-772.
31 李丹丹, 汪涛, 周辉. 基于不同时空尺度的知识溢出网络结构特征研究[J]. 地理科学, 2013, 33(10): 1180-1187.
32 PlotnikovaT, RakeB. Collaboration in pharmaceutical research: Exploration of country-level determinants[J]. Scientometrics, 2014, 98(2): 1173-1202.
33 HoekmanJ, FrenkenK, TijssenR J W. Research collaboration at a distance: Changing spatial patterns of scientific collaboration within Europe [J]. Research Policy, 2010, 39(5):662-673.
34 CoenenL, MoodyssonJ, AsheimB T. Nodes, networks and proximities: On the knowledge dynamics of the Medicon Valley biotech cluster[J]. European Planning Studies, 2004, 12(7): 1003-1018.
35 GulatiR, GargiuloM. Where do interorganizational networks come from?[J]. American Journal of Sociology, 1999, 104(5): 1439-1493.
36 AsheimB, CoenenL, VangJ. Face-to-face, buzz, and knowledge bases: Sociospatial implications for learning, innovation, and innovation policy[J]. Environment and Planning C: Government and Policy, 2007, 25(5): 655-670.
37 BergéL R. Network proximity in the geography of research collaboration[J]. Papers in Regional Science, 2017, 96(4): 785-815.
38 IsardW. Location theory and trade theory: Short-run analysis[J]. The Quarterly Journal of Economics, 1954, 68(2): 305-320.
39 BurgerM, van OortF, LindersG J. On the specification of the gravity model of trade: Zeros, excess zeros and zero-inflated estimation[J]. Spatial Economic Analysis, 2009, 4(2): 167-190.
40 MetuliniR, SgrignoliP, SchiavoS, et al. The network of migrants and international trade[J]. Economia Politica, 2018, 35(3): 763-787.
41 ZhangC, GuoJ. China’s international research collaboration: evidence from a panel gravity model[J]. Scientometrics, 2017, 113(2): 1129-1139.
42 AcostaM, CoronadoD, FerrándizE, et al. Factors affecting inter-regional academic scientific collaboration within Europe: The role of economic distance[J]. Scientometrics, 2011, 87(1): 63-74.
43 ShannonC E. A mathematical theory of communication[J]. Bell System Technical Journal, 1948, 27(3): 379-423.
44 GarlaschelliD, LoffredoM I. Patterns of link reciprocity in directed networks[J]. Physical Review Letters, 2004, 93(26): 810-814.