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Study on Recognition Methods for Interdisciplinary Periodicals |
Zhang Huiling1,2, Xu Haiyun2,3, Liu Chunjiang2,4 |
1. School of Information Management, Shanxi University of Finance & Economics, Taiyuan 030006; 2. Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu 610041; 3. Institute of Scientific and Technical Information of China (ISTIC), Beijing 100038; 4. University of Chinese Academy of Sciences, Beijing 100190 |
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Abstract In view of the utility of interdisciplinary journal identification methods, this paper systematically reviews the research on these methods both at home and abroad. Based on this, interdiscipline characteristics, the interdisciplinary recognition method is applied to interdisciplinary journal identification. Through interdisciplinary identification methods and comparative analysis of journal papers, the specific formula was amended by identifying and selecting the indicators with higher validity of interdisciplinary journal identification. The empirical results show that the indicators of interdisciplinary journal identification can be divided into academic periodical diversity indicators, balance indicators, aggregation indicators, and comprehensive indicators. The applicability of journal identification indicators varies in different disciplines. Among these indicators, the S-index for measuring periodical diversity, while the GI-index for focusing on journal balance have a good effect on cross-sectional measurement of journal subjects, and they can be used for interdisciplinary journal identification.
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Received: 25 June 2018
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[1] Leydesdorff L, Rafols I.Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations[J]. Journal of Informetrics, 2011, 5(1): 87-100. [2] Porter A L, Rafols I.Is science becoming more interdisciplinary? Measuring and mapping six research fields over time[J]. Scientometrics, 2009, 81(3): 719. [3] Small H.Maps of science as interdisciplinary discourse: co-citation contexts and the role of analogy[J]. Scientometrics, 2010, 83(3): 835-849. [4] Krackhardt D, Stern R N.Informal networks and organizational crises: An experimental simulation[J]. Social Psychology Quarterly, 1988, 51(2): 123-140. [5] Leydesdorff L, Rafols I, Chen C.Interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal-journal citations[J]. Journal of the American Society for Information Science and Technology, 2013, 64(12): 2573-2586. [6] 张洪磊, 魏建香, 杜振东, 等. 基于社会复杂网络的学科交叉研究[J]. 情报杂志, 2011, 30(10): 25-29. [7] 魏建香, 孙越泓, 苏新宁. 基于聚类分析的学科交叉研究[J]. 情报学报, 2010, 29(6): 1066-1073. [8] 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. [9] 杨良斌, 金碧辉. 跨学科研究中学科交叉度的定量分析探讨[J]. 情报杂志, 2009, 28(4): 39-43. [10] Brillouin L, Hellwarth R W.Science and information theory[J]. Physics Today, 1956, 9(12): 39-40. [11] Tokumaru K.Several questions on the Shannon’s information theory: From the experience to use information theories as interdisciplinary analysis tools[J]. IEICE Technical Report Information Theory, 2011, 111: 61-66. [12] 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. [13] Tijssen R J W. A quantitative assessment of interdisciplinary structures in science and technology: Co-classification analysis of energy research[J]. Research Policy, 1992, 21(1): 27-44. [14] Strobl C. Statistical sources of variable selection bias in classification tree algorithms based on the Gini Index[J]. Ludwig-Maximilians-Universität München (LMU), 2005: Paper 420. [15] Chang Y W, Huang M H.A study of the evolution of interdisciplinarity in library and information science: Using three bibliometric methods[J]. Journal of the Association for Information Science and Technology, 2012, 63(1): 22-33. [16] Morillo F, Bordons M, Gómez I.An approach to interdisciplinarity through bibliometric indicators[J]. Scientometrics, 2001, 51(1): 203-222. [17] Al-Sabbagh I A. The evolution of the interdisciplinarity of information science: a bibliometric study[M]. Florida State University, 1987. [18] Tomer C.A statistical assessment of two measures of citation: The impact factor and the immediacy index[J]. Information Processing & Management, 1986, 22(3): 251-258. [19] Hammarfelt B.Interdisciplinarity and the intellectual base of literature studies: citation analysis of highly cited monographs[J]. Scientometrics, 2011, 86(3): 705-725. [20] 赵民志. 文献计量跨学科应用研究[J]. 图书馆理论与实践, 2015(3): 54-56. [21] 杨良斌, 周秋菊, 金碧辉. 基于文献计量的跨学科测度及实证研究[J]. 图书情报工作, 2009, 53(10): 87-90. [22] Garfield E.Historiographic mapping of knowledge domains literature[J]. Journal of Information Science, 2004, 30(2): 119-145. [23] Rokaya M, Atlam E, Fuketa M, et al.Ranking of field association terms using co-word analysis[J]. Information Processing & Management, 2008, 44(2): 738-755. [24] 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. [25] Hmimida M, Kanawati R.Community detection in multiplex networks: A seed-centric approach[J]. Networks & Heterogeneous Media, 2015, 10(1): 71-85. [26] 李长玲, 刘非凡, 郭凤娇. 运用重叠社群可视化软件CFinder分析学科交叉研究主题——以情报学和计算机科学为例[J]. 图书情报工作, 2013, 57(7): 75-80. [27] 邵作运, 李秀霞. 基于引文耦合和概念格的学科交叉知识结构探测[J]. 图书情报工作, 2015, 59(8): 78-86. [28] 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. [29] 洪娜, 张智雄, 乐小虬. 基于能量演化线索的潜在爆发词探测方法[J]. 现代图书情报技术, 2010(11): 45-52. [30] 隗玲, 许海云, 郭婷, 等. 基于弱共现和突发监测的情报学学科研究主题及交叉性分析[J]. 图书情报工作, 2015, 59(21): 105-114. [31] Kleinberg J.Bursty and hierarchical structure in streams[J]. Data Mining and Knowledge Discovery, 2003, 7(4): 373-397. [32] 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(6): 130-137. [33] 徐庶睿, 卢超, 章成志. 术语引用视角下的学科交叉测度——以PLOS ONE上六个学科为例[J]. 情报学报, 2017, 36(8): 809-820. [34] 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. [35] Rafols I, Meyer M.Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience[J]. Scientometrics, 2010, 82(2): 263-287. [36] 许海云, 尹春晓, 郭婷, 等. 学科交叉研究综述[J]. 图书情报工作, 2015, 59(5): 119-127. [37] Shannon C E.A mathematical theory of communication[J]. ACM SIGMOBILE Mobile Computing and Communications Review, 2001, 5(1): 3-55. |
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