情报杂志2025，Vol.44Issue(11)：125-135,11.DOI:10.3969/j.issn.1002-1965.2025.11.016
基于互联网数据和图自编码器链路预测的科技发展机会发现研究
Research on Discovery of Science and Technology Development Opportunities Based on Internet Data and Graph Autoencoder Link Prediction
摘要
Abstract
[Research purpose]Aiming at the problem that opportunity identification at the strategic level of science and technology mainly depends on experience,we define the concept of"science and technology development opportunity"(STDO)and propose a method to discover it.[Research method]In the opportunity identification stage,text information related to the development of science and technol-ogy in a field is extracted from the websites of authoritative media and related enterprises,the field's co-word network is constructed,and a link prediction algorithm based on graph autoencoder is used to identify the new STDOs.In the stage of opportunity analysis,aiming to solve the problem of large number and ambiguous meaning of opportunities,category-and keyword-level indicators are established to screen and interpret STDOs.[Research result/conclusion]The empirical study on quantum science and technology field shows that the proposed link prediction model has better performance than traditional models.The proposed screening and interpretation method can clari-fy the meaning of STDOs.The category-level STDOs of quantum technology in China include favorable policy toward quantum compa-nies,stimulating the industrial chain,and strengthening the industry-university-institute ties;The keyword-level STDOs include quantum security communication,quantum supercomputer and integration of finance and quantum technology industry,etc.The results validate the effectiveness and feasibility of the proposed method.关键词
科技发展机会/图自编码器/链路预测/文本挖掘/机会解读/量子科技Key words
science and technology development opportunity/graph autoencoder/link prediction/text mining/opportunity interpretation/quantum science and technology引用本文复制引用
任海英,崔士博..基于互联网数据和图自编码器链路预测的科技发展机会发现研究[J].情报杂志,2025,44(11):125-135,11.基金项目
北京市社会科学基金重点项目"科技创意及其智能化管理系统的基础理论与方法研究"(编号:23GLA009)研究成果. （编号:23GLA009）
