Interdisciplinary Measurement of Projects Based on Three-dimensional Perspective
Zhang Xue1, Zhang Zhiqiang2,3, Deng Cheng1, Wang Jiamin1
1.School of Economics and Management, Xidian University, Xi’an 710126 2.National Science Library (Chengdu), Chinese Academy of Sciences, Chengdu 610299 3.Department of Information Resource Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
1 王曰芬, 岑咏华, 范圆圆. 情报研究视角下基金项目数据挖掘与分析——以美国科学基金数据中人工智能领域为例[J]. 情报科学, 2022, 40(12): 3-12. 2 Bromham L, Dinnage R, Hua X. Interdisciplinary research has consistently lower funding success[J]. Nature, 2016, 534(7609): 684-687. 3 赵娓. NSFC重大研究计划对学科交叉的影响研究[D]. 北京: 北京理工大学, 2016. 4 杨洁, 王曰芬, 陈必坤, 等. 基金项目学部分部的交叉网络分析——以美国NSF数据中AI领域为例[J]. 情报学报, 2022, 41(9): 945-955. 5 Abramo G, D’Angelo C A, Zhang L. A comparison of two approaches for measuring interdisciplinary research output: the disciplinary diversity of authors vs the disciplinary diversity of the reference list[J]. Journal of Informetrics, 2018, 12(4): 1182-1193. 6 张琳, 孙蓓蓓, 黄颖. 跨学科合作模式下的交叉科学测度研究——以ESI社会科学领域高被引学者为例[J]. 情报学报, 2018, 37(3): 231-242. 7 Zhang L, Sun B B, Chinchilla-Rodríguez Z, et al. Interdisciplinarity and collaboration: on the relationship between disciplinary diversity in departmental affiliations and reference lists[J]. Scientometrics, 2018, 117(1): 271-291. 8 黄颖, 张琳, 孙蓓蓓, 等. 跨学科的三维测度——外部知识融合、内在知识会聚与科学合作模式[J]. 科学学研究, 2019, 37(1): 25-35. 9 Leydesdorff L, Wagner C S, Bornmann L. Interdisciplinarity as diversity in citation patterns among journals: Rao-Stirling diversity, relative variety, and the Gini coefficient[J]. Journal of Informetrics, 2019, 13(1): 255-269. 10 张雪. 项目学科交叉测度及潜在交叉方向识别研究——以NSF生物科学学部为例[D]. 北京: 中国科学院大学, 2022. 11 Huang Y, Zhang Y, Youtie J, et al. How does national scientific funding support emerging interdisciplinary research: a comparison study of big data research in the US and China[J]. PLoS One, 2016, 11(5): e0154509. 12 王卫军, 姚畅, 乔子越, 等. 基于词嵌入的国家自然科学基金学科交叉知识发现方法——以“人工智能” 与“信息管理”为例[J]. 情报学报, 2021, 40(8): 831-845. 13 温芳芳, 杨倩倩, 李翔宇. 我国人文社会科学学科交叉性的测度及其演化规律研究——基于国家社科基金关键词耦合分析[J]. 现代情报, 2022, 42(3): 157-167. 14 Garner J G, Porter A L, Newman N C, et al. Assessing research network and disciplinary engagement changes induced by an NSF program[J]. Research Evaluation, 2012, 21(2): 89-104. 15 张雪, 张志强. 美国科学基金会资助项目的学科交叉度演化规律及影响研究[J]. 情报理论与实践, 2021, 44(12): 122-132. 16 Uddin S, Imam T, Mozumdar M. Research interdisciplinarity: STEM versus non-STEM[J]. Scientometrics, 2021, 126(1): 603-618. 17 Stirling A. A general framework for analysing diversity in science, technology and society[J]. Journal of the Royal Society Interface, 2007, 4(15): 707-719. 18 Rafols I, Meyer M. Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience[J]. Scientometrics, 2010, 82(2): 263-287. 19 范丽鹏, 王曰芬, 岑咏华, 等. 基金项目计划学部交叉及对前沿分布的影响研究——以美国NSF数据中AI领域为例[J]. 情报学报, 2022, 41(9): 956-966. 20 Porter A L, Chubin D E. An indicator of cross-disciplinary research[J]. Scientometrics, 1985, 8(3-4): 161-176. 21 Porter A L, Rafols I. Is science becoming more interdisciplinary? Measuring and mapping six research fields over time[J]. Scientometrics, 2009, 81(3): 719-745. 22 Leydesdorff L, Rafols I. Indicators of the interdisciplinarity of journals: diversity, centrality, and citations[J]. Journal of Informetrics, 2011, 5(1): 87-100. 23 Hamers L, Hemeryck Y, Herweyers G, et al. Similarity measures in scientometric research: the Jaccard index versus Salton’s cosine formula[J]. Information Processing & Management, 1989, 25(3): 315-318. 24 Chen K H, Liang C F. Disciplinary interflow of library and information science in Taiwan[J]. Journal of Library & Information Studies, 2004, 2(2): 31-55. 25 Shannon C E. A mathematical theory of communication[J]. The Bell System Technical Journal, 1948, 27(3): 379-423. 26 Simpson E H. Measurement of diversity[J]. Nature, 1949, 163(4148): 688. 27 Brillouin L, Hellwarth R W. Science and information theory[J]. Physics Today, 1956, 9(12): 39-40. 28 Grant R M, Jammine A P, Thomas H. Diversity, diversification, and profitability among British manufacturing companies[J]. Academy of Management Journal, 1988, 31(4): 771-801. 29 Montgomery C A, Wernerfelt B. Diversification, ricardian rents, and Tobin’s q[J]. The RAND Journal of Economics, 1988, 19(4): 623-632. 30 Porter A L, Cohen A S, David Roessner J, et al. Measuring researcher interdisciplinarity[J]. Scientometrics, 2007, 72(1): 117-147. 31 Zhang L, Rousseau R, Gl?nzel W. Diversity of references as an indicator of the interdisciplinarity of journals: taking similarity between subject fields into account[J]. Journal of the Association for Information Science and Technology, 2016, 67(5): 1257-1265. 32 Leydesdorff L. Betweenness centrality as an indicator of the interdisciplinarity of scientific journals[J]. Journal of the American Society for Information Science and Technology, 2007, 58(9): 1303-1319. 33 李长玲, 纪雪梅, 支岭. 基于E-I指数的学科交叉程度分析——以情报学等5个学科为例[J]. 图书情报工作, 2011, 55(16): 33-36. 34 Egghe L, Rousseau R. BRS-compactness in networks: theoretical considerations related to cohesion in citation graphs, collaboration networks and the internet[J]. Mathematical and Computer Modelling, 2003, 37(7-8): 879-899. 35 陈赛君, 陈智高. 领域交叉性分析指标与方法新探及其实证研究[J]. 情报学报, 2013, 32(11): 1184-1195. 36 黄菡, 王晓光, 王依蒙. 复杂网络视角下的研究主题学科交叉测度研究[J]. 图书情报工作, 2022, 66(19): 99-109. 37 张雪, 张志强. 学科交叉研究系统综述[J]. 图书情报工作, 2020, 64(14): 112-125. 38 OECD category schema[EB/OL]. [2023-07-22]. https://incites.zendesk.com/hc/en-gb/articles/22516984338321-OECD-Category-Schema. 39 Gl?nzel W, Schubert A. A new classification scheme of science fields and subfields designed for scientometric evaluation purposes[J]. Scientometrics, 2003, 56(3): 357-367. 40 曾德明, 于英杰, 文金艳, 等. 基于Web of Science分类的学科交叉融合演化特征分析[J]. 情报学报, 2020, 39(8): 872-884.
