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| Research on Identification of Emerging Topics Based on Link Prediction with Weighted Networks |
| Huang Lu1, Zhu Yihe1, Zhang Yi2 |
1.School of Management and Economics, Beijing Institute of Technology, Beijing 100081
2.Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology, Sydney 2007 |
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Abstract The acceleration of the new generation of technological revolution and industrial transformation stimulates the recognition of emerging technologies, which has become a crucial issue related to the future developmental strategy of a country and region. We initially predict the dynamic change of a co-word network based on link prediction and neural network algorithms. Emerging topics are then detected by measuring their novelty and influence. An empirical study on applications of perovskite materials is conducted to demonstrate the reliability of the proposed method.
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Received: 08 October 2018
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