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| Direct Measurement of the Degree of Interdisciplinarity |
| Ma Ruimin, Yan Xiaohui, and Shen |
| Institution of Management and Decision, Research Center for Science Evaluation, Shanxi University, Taiyuan 030006 |
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Abstract At present, interdisciplinary integration is becoming more pronounced, thus requiring additional collaborative innovation of scholars from different disciplines. Accordingly, the measurement of the degree of interdisciplinarity becomes an important research task. After elaborating the theoretical basis of model construction, a comprehensive model of direct interdisciplinary measurement is constructed from three aspects: direct citation, bibliographic coupling, and co-keywords. Based on Web of Science data, this paper discusses the interdisciplinary relation between information science and library science, as well as six other subjects related to management, computer science, and information systems. In addition, the study conducts empirical research from two aspects: internal comparisons (comprehensive vs. single-indicator models) and external comparisons with current mainstream indicator models. The results prove that the model proposed in this paper has comparative advantages: it is more scientific in principle, easier to manipulate, better aligned with the current situation, stronger discrimination, and the results are easier to interpret. Therefore, it provides an effective method to detect the degree of interdisciplinarity.
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Received: 19 February 2019
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