[1] 刘仲林. 交叉科学时代的交叉研究[J]. 科学学研究, 1993, 11(2):9-16. [2] National Academy of Sciences. Facilitating interdisciplinary research[M]. Washington, D.C.:National Academies Press, 2005. [3] ERC:European Research Council[EB/OL].[2021-12-02]. https://erc.europa.eu. [4] DFG-Deutsche forschungsgemeinschaft[EB/OL].[2021-12-02].https://www.dfg.de. [5] 国家自然科学基金委员会[EB/OL].[2021-01-28].http://www.nsfc.gov.cn. [6] "交叉学科"成第14个学科门类[EB/OL].[2021-01-14]. http://www.moe.gov.cn. [7] HOFFMANN M H G, SCHMIDT J C, NERSESSIAN N J. Philosophy of and as interdisciplinarity[J]. Synthese, 2013, 190(11):1857-1975. [8] 李江."跨学科性"的概念框架与测度[J].图书情报知识,2014(3):87-93. [9] 张慧, 张家榕, 叶鹰. 国内图书馆学情报学研究论文的文科跨学科性分析[J]. 图书馆杂志, 2017, 36(12):20-26. [10] 邱均平, 余厚强. 跨学科发文视角下我国图书情报学跨学科研究态势分析[J]. 情报理论与实践, 2013, 5(6):5-10. [11] STOPAR K, DROBNE D, ELER K, et al. Citation analysis and mapping of nanoscience and nanotechnology:identifying the scope and interdisciplinarity of research[J]. Scientometrics, 2016, 106(2):563-581. [12] HU J, ZHANG Y. Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization[J]. Scientometrics, 2017, 112(1):1-19. [13] CHEN C L P, ZHANG C Y. Data-intensive applications, challenges, techniques and technologies:a survey on big data[J]. Information sciences, 2014, 275:314-347. [14] 张琳,黄颖. 交叉科学测度、评价与应用[M].北京:科学出版社,2019:96-134. [15] 杨良斌, 金碧辉. 跨学科测度指标体系的构建研究[J]. 情报杂志, 2009, 28(7):65-69. [16] 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. [17] 章成志, 吴小兰. 跨学科研究综述[J]. 情报学报, 2017, 36(5):523-535. [18] WANG Q, SCHNEIDER J W. Consistency and validity of interdisciplinarity measures[J]. Quantitative science studies, 2020, 1(1):239-263. [19] WAGNER C S, ROESSNER J D, BOBB K, et al. Approaches to understanding and measuring interdisciplinary scientific research:a review of the literature[J]. Journal of informetrics, 2011, 5(1):14-26. [20] 曹玲静, 陈云伟. 学科交叉评价研究进展综述[J]. 情报杂志, 2020, 39(7):173-180. [21] 李长玲, 高峰, 牌艳欣. 试论跨学科潜在知识生长点及其识别方法[J].科学学研究, 2021, 39(6):1007-1014. [22] PORTER A L, CHUBIN D E. An indicator of cross-disciplinary research[J]. Scientometrics, 1985, 8(3/4):161-176. [23] MCCANN K S. The diversity-stability debate[J]. Nature, 2000, 405(6783):228-233. [24] GASTON K J, SPICER J I. Biodiversity:an introduction[M]. New Jersey:Blackwell Science, 2004. [25] GÓMEZ I, BORDONS M, FERNÁNDEZ M T, et al. Coping with the problem of subject classification diversity[J]. Scientometrics, 1996, 35(2):223-235. [26] VAN LEEUWEN T, TIJSSEN R. Interdisciplinary dynamics of modern science:analysis of cross-disciplinary citation flows[J]. Research evaluation, 2000, 9(3):183-187. [27] GINI C. Variability and mutability, contribution to the study of statistical distributions and relations[J]. Studi economico-giuridici della R. universita de cagliari, 1912. [28] GINI C. Measurement of inequality of incomes[J]. The economic journal, 1921, 31(121):124-126. [29] BAIN J S. Barriers to new competition:the character and consequences in manufacturing industries[M]. Cambridge:Harvard University Press, 1956. [30] HERFINDAHL O. Concentration in the US steel industry[D]. New York:Columbia University,1950. [31] HIRSCHMAN A O. The Paternity of an Index[J]. The American economic review, 1964, 54(5):761. [32] MOSCHINI U, FENIALDI E, DARAIO C, et al. A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors' documents, their bibliography and their citing papers[J]. Scientometrics, 2020, 125(2):1145-1158. [33] MORILLO F, BORDONS M, GÓMEZ I. An approach to interdisciplinarity through bibliometric indicators[J]. Scientometrics, 2001, 51(1):203-222. [34] BRILLOUIN L. Science and information theory[M]. New York:Academic Press, 1956. [35] STEELE T W, STIER J C. The impact of interdisciplinary research in the environmental sciences:a forestry case study[J]. Journal of the American Society for Information Science, 2000, 51(5):476-484. [36] 方锦清, 汪小帆, 郑志刚,等. 一门崭新的交叉科学:网络科学[J].物理学进展, 2007, 27(3):239-343. [37] 诺伊, 姆尔瓦, 巴塔盖尔吉,等. 蜘蛛:社会网络分析技术[M].林枫,译.北京:世界图书出版公司, 2012. [38] RAFOLS I, MEYER M. Diversity and network coherence as indicators of interdisciplinarity:case studies in bionanoscience[J]. Scientometrics, 2010, 82(2):263-287. [39] 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. [40] LEYDESDORFF L. Top-down decomposition of the Journal Citation Report of the Social Science Citation Index:Graph-and factor-analytical approaches[J]. Scientometrics, 2004, 60(2):159-180. [41] VAN DEN BESSELAAR P, HEIMERIKS G. Disciplinary, multidisciplinary, interdisciplinary:concepts and indicators[C]//8th international conference on scientometrics and informetrics proceedings-ISSI-2001. Sydney, 2001:705-716. [42] RAFOLS I, LEYDESDORFF L, O'HARE A, et al. How journal rankings can suppress interdisciplinary research:a comparison between innovation studies and business & management[J]. Research policy, 2012, 41(7):1262-1282. [43] RAFOLS I. Knowledge integration and diffusion:measures and mapping of diversity and coherence[M]. Cham:Springer, 2014:169-190. [44] HAKE H. Synergeties, an introduction:non-equi1ibrium phase transitions and self-organization in Physics, Chemistry and Biology[M].Berlin:Springer-Verlag, 1983:52-68. [45] BROOKS D R, WILEY E O. Evolution as entropy[J]. Taxon, 1988, 35(4):149-150. [46] THEIL H. Statistical decomposition analysis:with applications in the social and administrative sciences[M]. North-Holland:North-Holland Publishing Company, 1972. [47] KRIPPENDORFF K. Information of interactions in complex systems[J]. International journal of general systems, 2009, 38(6):669-680. [48] LEYDESDORFF L, PETERSEN A M, IVANOVA I. Self-organization of meaning and the reflexive communication of information[J]. Social science information, 2017, 56(1):4-27. [49] LEYDESDORFF L, IVANOVA I. The measurement of "interdisciplinarity" and "synergy" in scientific and extra-scientific collaborations[J]. Journal of the Association for Information Science and Technology, 2021, 72(4):387-402. [50] 盛世豪, 徐梦周. 科学学学科发展态势及重点研究领域[J]. 科学学研究, 2018, 36(12):2154-2159. [51] UZZI B, MUKHERJEE S, STRINGER M, et al. Atypical combinations and scientific impact[J]. Science, 2013, 342(6157):468-472. [52] WANG J, VEUGELERS R, STEPHAN P. Bias against novelty in science:a cautionary tale for users of bibliometric indicators[J]. Research policy, 2017, 46(8):1416-1436. [53] HILL M O. Diversity and evenness:a unifying notation and its consequences[J]. Ecology, 1973, 54(2):427-432. [54] CHEN K, LIANG C. Disciplinary interflow of library and information science in Taiwan[J]. Journal of library and information studies,2004, 2(2):31-55. [55] RINIA E J, LEEUWEN T N V, BRUINS E E W. Citation delay in interdisciplinary knowledge exchange[J]. Scientometrics, 2001, 51(1):293-309. [56] LEVITT J M, THELWALL M, OPPENHEIM C. Variations between subjects in the extent to which the social sciences have become more interdisciplinary[J]. Journal of the Association for Information Science & Technology, 2014, 62(6):1118-1129. [57] SIMPSON E H. Measurement of Diversity[J]. Nature, 1949, 163(4148):688-688. [58] SHANNON C E. A mathematical theory of communication[J]. ACM sigmobile mobile computing and communications review, 2001, 5(1):3-55. [59] SILVA F N, RODRIGUES F A, OLIVEIRA O N, et al. Quantifying the interdisciplinarity of scientific journals and fields[J]. Journal of informetrics, 2013, 7(2):469-477. [60] LIN J. Divergence measures based on the Shannon entropy[J]. IEEE transactions on information theory, 1991, 37(1):145-151. [61] BERGMANN T, DALE R, SATTARI N, et al. The interdisciplinarity of collaborations in cognitive science[J]. Cognitive science, 2017, 41(5):1412-1418. [62] BOTT E. Family and social network:roles, norms, and external relationships in ordinary urban families[M]. London:Tavistock publications, 1957. [63] FREEMAN L C. A set of measures of centrality based on betweenness[J]. Sociometry, 1977, 40(1):35-41. [64] 李长玲, 纪雪梅, 支岭. 基于EI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. [65] 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. [66] XU H, GUO T, YUE Z, et al. Interdisciplinary topics of information science:a study based on the terms interdisciplinarity index series[J]. Scientometrics, 2016, 106(2):583-601. [67] LEYDESDORFF L, RAFOLS I. Indicators of the interdisciplinarity of journals:diversity, centrality, and citations[J]. Journal of informetrics, 2011, 5(1):87-100. [68] PRATT A D. A measure of class concentration in bibliometrics[J]. Journal of the American Society for Information Science, 1977, 28(5):285-292. [69] SALTON G, MCGILL M J. Introduction to modern information retrieval[M]. Los Angeles:Mcgraw Hill, 1983. [70] PORTER A, COHEN A, DAVID ROESSNER J, et al. Measuring researcher interdisciplinarity[J]. Scientometrics, 2007, 72(1):117-147. [71] LEINSTER T, COBBOLD C A. Measuring diversity:the importance of species similarity[J]. Ecology, 2012, 93(3):477-489. [72] ZHANG L, ROUSSEAU R, GLÄNZEL 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. [73] LEYDESDORFF L. Diversity and interdisciplinarity:how can one distinguish and recombine disparity, variety, and balance?[J]. Scientometrics, 2018, 116(3):2113-2121. [74] STIRLING A. On the economics and analysis of diversity[J/OL].[2022-06-20].https://www.researchgate.net/publication/247036152_On_the_Economics_and_Analysis_of_Diversity. [75] STIRLING A. A general framework for analyzing diversity in science, technology and society[J]. SPRU working paper series, 2007, 4(15):707. [76] SOÓS S, VIDA Z, SCHUBERT A. Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction[J]. Scientometrics, 2018, 114(3):795-822. [77] BROMHAM L, DINNAGE R, HUA X. Interdisciplinary research has consistently lower funding success[J]. Nature, 2016, 534(7609):684-687. [78] 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):27-37. [79] LEE M R, CHEN T T. Understanding social computing research[J]. It professional, 2013, 15(6):56-62. [80] TANG R. Evolution of the interdisciplinary characteristics of information and library science[J]. Proceedings of the American Society for Information Science and Technology, 2004, 41(1):54-63. [81] 熊文靓, 付慧真. 基于主题挖掘模型的跨学科性研究主题及其演化研究[J]. 情报科学, 2021, 39(11):117-120. [82] GATES A J, KE Q, VAROL O, et al. Nature's reach:narrow work has broad impact[J]. Nature, 2019, 575(7781):32-34. [83] CAMPBELL D T. Ethnocentrism of disciplines and the fish-scale model of omniscience[M]//Interdisciplinary relationships in the social sciences. London:Routledge, 2017:328-348. [84] LEAHEY E, BECKMAN C M, STANKO T L. Prominent but less productive:the impact of interdisciplinarity on scientists' research[J]. Administrative science quarterly, 2017, 62(1):105-139. [85] FONTANA M, IORI M, MONTOBBIO F, et al. New and atypical combinations:an assessment of novelty and interdisciplinarity[J]. Research policy, 2020, 49(7):104063. [86] KOIER E, HORLINGS E. How accurately does output reflect the nature and design of transdisciplinary research programmes?[J] Research evaluation, 2015, 24(1):37-50. |