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| Research on the Distribution and Evolution of Interdisciplinarity in the Multidisciplinary Cross-Synthesis Research Field |
| Cao Jiajun1, Wang Yuefen1, Chen Shengzhi2, Zou Bentao1 |
1.School of Economics & Management, Nanjing University of Science & Technology, Nanjing 210094
2.School of Computer Science & Engineering, Nanjing University of Science & Technology, Nanjing 210094 |
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Abstract The purpose of this study is to reveal the core disciplines in a multi-disciplinary field and to analyze the internal relationship and evolution. This study takes artificial intelligence (AI) as its research object, discusses the distribution of related disciplines in this field, and analyzes the relationships, similarities, and evaluations between them to provide data support and decision-making structures for scientific research and policy-making. After pre-processing and analyzing literature data, keywords were used to express the research content of subjects and construct subject vectors through a bag-of-words model. Then, the distribution of AI-related subjects, the similarities and evolution between AI and other subjects, as well as between related subjects are studied from three aspects: Basic statistics, co-occurrence analysis, and similarity analysis. The results indicate that in the field of artificial intelligence, computer science and engineering fields are the most prominent, mathematics is its basis, and its research is gradually spreading to social sciences, biological sciences, and other fields. AI research is developed from single theoretical and technical research to multidisciplinary applications. The diversification of disciplines in this field also promotes the research content diversification of management and law. This shows that the analysis path can reveal the interdisciplinary development trends of subject research to a certain extent.
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Received: 10 October 2019
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