[1] 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.
[2] 路甬祥.学科交叉与交叉科学的意义[J].中国科学院院刊,2005(1):58-60.
[3] 张琳,孙蓓蓓,黄颖.交叉科学研究:内涵、测度与影响[J].科研管理,2020,41(7):279-288.
[4] 陈仕吉,崔腾腾,邱均平.学科交叉动力学分析研究综述[J/OL].数据分析与知识发现:1-11[2022-04-20].http://kns.cnki.net/kcms/detail/10.1478.G2.20220126.1035.002.html.
[5] 马瑞敏,闫晓慧,申楠.学科交叉直接测度研究[J].情报学报,2019,38(7):688-696.
[6] HUANG Y, LU W, LIU J, et al. Towards transdisciplinary impact of scientific publications:a longitudinal, comprehensive, and large-scale analysis on Microsoft Academic Graph[J]. Information processing and management, 2022, 59(2):102859.
[7] 张琳,孙蓓蓓,王贤文,等.交叉科学成果影响力研究:使用数据与引用数据视角[J].情报学报,2020,39(5):469-477.
[8] DONG K, XU H, LUO R, et al. An integrated method for interdisciplinary topic identification and prediction:a case study on information science and library science[J]. Scientometrics, 2018, 115(2):849-868.
[9] 张斌.交叉学科主题探究:从主题聚类视角[J].情报科学,2020,38(10):49-55.
[10] 徐庶睿,章成志,卢超.利用引文内容进行主题级学科交叉类型分析[J].图书情报工作,2017,61(23):15-24.
[11] 周建林,牛琪锴,曾安,等.基于复杂网络视角的科学文献数据分析[J].科技导报,2018,36(8):55-64.
[12] 吕鹏辉,张士靖.学科知识网络研究(I)引文网络的结构、特征与演化[J].情报学报,2014,33(4):340-348.
[13] WANG X, WANG H, HUANG H. Evolutionary exploration and comparative analysis of the research topic networks in information disciplines[J]. Scientometrics, 2021,126(6):4991-5017.
[14] 刘仲林.交叉科学时代的交叉研究[J].科学学研究,1993(2):11-18.
[15] 侯剑华,陈皞钰.国内理论科学学研究述评(2012-2017)[J].科技管理研究,2019,39(5):237-245.
[16] PORTER A L, COHEN A S, ROESSNER D J, et al. Measuring researcher interdisciplinarity[J]. Scientometrics,2007,72(1):117-147.
[17] PORTER A L, CHUBIN D E. An indicator of cross-disciplinary research[J]. Scientometrics,1985,8(3):161-176.
[18] HAMERS L, HEMERYCK Y, HERWEYERS G, et al. Similarity measures in scientometric research:the Jaccard index versus Salton's cosine formula[J]. Information processing and management:an international journal, 1989,25(3):315-318.
[19] ZHOU Q, ROUSSEAU R, YANG L, et al. A general framework for describing diversity within systems and similarity between systems with applications in informetrics[J]. Scientometrics, 2012, 93(3):787-812.
[20] LEYDESDORFF L, RAFOLS I. Indicators of the interdisciplinarity of journals:diversity, centrality, and citations[J]. Journal of informetrics, 2011, 5(1):87-100.
[21] CHANG Y, HUANG M. A study of the evolution of interdisciplinarity in library and information science:using three bibliometric methods[J]. Journal of the American society for information science & technology, 2012,63(1):22-33.
[22] GRANT R M, JAMMINE A P, THOMAS H. Diversity, diversification, and profitability among British manufacturing companies, 1972-1984[J]. The academy of management journal, 1988, 31(4):771-801.
[23] 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.
[24] 施顺顺. 基于Rao-Stirling多样性算法的公共管理学跨学科性评估研究[D].杭州:浙江财经大学,2019.
[25] 韩正琪,刘小平,寇晶晶.基于Rao-Stirling指数和LDA模型的领域学科交叉主题识别——以纳米科技为例[J].情报科学,2020,38(2):116-124.
[26] 韩正琪,刘小平,徐涵.基于Rao-Stirling指数的学科交叉文献发现——以纳米科学与纳米技术为例[J].图书情报工作,2018,62(1):125-131.
[27] 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.
[28] BROMHAM L, DINNAGE R, HUA X. Interdisciplinary research has consistently lower funding success[J]. Nature, 2016, 534(7609):684-687.
[29] LEINSTER T, COBBOLD C A. Measuring diversity:the importance of species similarity[J]. Ecology, 2012, 93(3):477-489.
[30] ZHANG L, ROUSSEAU R, GLANZEL 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.
[31] LEYDESDORFF, L. Diversity and interdisciplinarity:how can one distinguish and recombine disparity, variety, and balance?[J]. Scientometrics, 2018,116(3):2113-2121.
[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] HU J, ZHANG Y. Measuring the interdisciplinarity of big data research:a longitudinal study[J]. Online information review, 2018, 42(5):681-696.
[34] 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.
[35] 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.
[36] RAFOLS I, MEYER M. Diversity and network coherence as indicators of interdisciplinarity:case studies in bionanoscience[J]. Scientometrics, 2009, 82(2):263-287.
[37] RAFOLS I. Knowledge integration and diffusion:measures and mapping of diversity and coherence[M]//DING Y,ROUSSEAU R,WOLFRAM D. Measuring scholarly impact:methods and practice. Cham:Springer, 2014:169-190.
[38] 陈赛君,陈智高.学科领域交叉性及对其测度的Φ指标——以我国科学学研究领域为例[J].科学学与科学技术管理,2014,35(5):3-12.
[39] 许海云,董坤,刘昊,等.基于异构网络的学科交叉主题发现方法[J].情报科学,2017,35(6):130-137,153.
[40] 阮光册,夏磊.学科间交叉研究主题识别——以图书情报学与教育学为例[J].情报科学,2020,38(12):152-157.
[41] 李长玲,郭凤娇,支岭.基于SNA的学科交叉研究主题分析——以情报学与计算机科学为例[J].情报科学,2014,32(12):61-66.
[42] 王连喜,曹树金.学科交叉视角下的网络舆情研究主题比较分析——以国内图书情报学和新闻传播学为例[J].情报学报,2017,36(2):159-169.
[43] 徐庶睿,卢超,章成志.学科交叉度的点面关系研究[J].图书馆论坛,2017,37(10):64-70.
[44] 许海云,郭婷,岳增慧,等.基于TI指标系列的情报学学科交叉主题研究[J].情报学报,2015,34(10):1067-1078.
[45] 许海云,刘春江,雷炳旭,等.学科交叉的测度、可视化研究及应用——一个情报学文献计量研究案例[J].图书情报工作,2014,58(12):95-101.
[46] 张琳,刘冬东,吕琦,等.论文学科交叉测度研究:从全部引文到章节引文[J].情报学报,2020,39(5):492-499.
[47] 王晓光,程齐凯.基于NEViewer的学科主题演化可视化分析[J].情报学报,2013,32(9):900-911.
[48] GUIMERÀ R, SALES-PARDO M, AMARAL L. Classes of complex networks defined by role-to-role connectivity profiles[J]. Nature physics,2007,3(1):63-69.
[49] 朱梦娴,程齐凯,陆伟.基于社会网络的学科主题聚类研究[J].情报杂志,2012,31(11):40-44,39.
[50] SHANNON C E. A mathematical theory of communication[J].ACM sigmobile mobile computing and communications review,2001,5(1):3-55.
[51] 李亚婷.图书情报学的学科交叉研究进展[J].情报科学,2017,35(11):156-160,171.
[52] 范少萍,安新颖,晏归来,等.医学领域前沿主题识别方法研究[J].情报学报,2018,37(7):686-694.