Detecting Funding Topics Evolutions with Visualization
Chen Ting1,2,3,Wang Haiming3(),Wang Xiaomei3
1National Science Library, Chinese Academy of Sciences, Beijing 100190, China 2Department of Library, Information and Archives Management, University of Chinese Academy of Sciences,Beijing 100190, China 3Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
[Objective] This study tries to detect funding topics and their evolution based on data from NASA’s Small Business Innovation Research Program.[Methods] First, we created funding maps with two-time windows for topics of funding applications. Then, we identified areas with higher number of topics in the map. Finally, we determined the trends by comparing the changes of hotspots from the two maps.[Results] The proposed method identified the disappeared, continuous and emerging funding topics from the maps.[Limitations] The algorithm parameters and results need to be adjusted and evaluated manually.[Conclusions] The proposed method could effectively detect funding toipics and their evolution, which helps scientific management and policy decision making.
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