Identifying the Funding Situation of Science Fund Based on Semantic Weighted Network in the Strategic Emerging Industries
[Purpose/Significance]The science fund system is an important way for countries to enhance scientific re-search.Identifying the funding direction and effectiveness of science funds plays a key role in perceiving the situation of sci-ence and technology development.[Method/Process]This study proposed the key phrase extraction rules to identify the phrases of science funds,and the ambiguity effects of synonyms and near synonyms were eliminated using semantic similari-ty.And then,a word co-occurrence network was constructed by moving dynamic sliding windows.After semantic weigh-ting,the fund topics were identified based on the community detection algorithm named Infomap.The experiment collected 1812 projects from National Natural Science Foundation of China and 2807 projects from National Science Foundation of the United States,which were related to the field of integrated circuits.The experiments showed that the method would be able to accurately identify topics and the efficiency of funds.[Result/Conclusion]The National Natural Science Foundation of China and the National Science Foundation of the United States both cover major research topics in the field of integrated cir-cuits,but there are obvious differences in the direction of focus and intensity.The average citation frequency of papers funded by the National Natural Science Foundation of China is relatively low,and the funded institutions are comparatively homogeneous.
万方数据
维普
