基于加权网络链路预测的新兴技术主题识别研究

Research on Identification of Emerging Topics Based on Link Prediction with Weighted Networks

随着新一轮科技革命和产业变革的加速演进,新兴技术识别成为影响一个国家和地区未来发展战略的重要议题。本文基于德温特专利数据,引入复杂网络链路预测方法与神经网络算法构建动态预测新兴技术发展网络的方法体系,并围绕新颖性与影响力两个维度识别新兴技术主题。同时,应用钙钛矿材料领域相关数据进行实证分析,验证了本文新兴技术主题识别方法的可行性与有效性。

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.