@conference {
    orvium-64b3f3cac4b0e7cf4f043388,
    title = "Measuring the science-technology-innovation linkage and its evolution based on citation and text features of FDA-approved drugs-patents-papers",
    abstract = "Science, technology and innovation are important issues related to national development and world progress. However, there is still a lack of research on the linkage and evolution of science-technology-innovation. We used the data of FDA-approved drugs (1949-2022) in the Orange Book, back-traced the relevant patents and their non-patent references, and established drug-patent-paper citation pairs and citation networks. We used citation characteristics to analyze the network structure, strength, speed and their evolution among science-technology-innovation. In addition, we used text features to analyze the topic linkage, topic evolution path and evolution mode among science-technology-innovation. It is suggested that the linkage between science-technology-innovation increased and became closer from 1949-2022. The strength of the linkage increased, but the speed of the linkage tended to slow down. we found that the cross-integration and fragmentation of topics promote the linkage between science-technology-innovation knowledge more closely.",
    keywords = "“Topic Evolution”, “Science Linkage”, “Technology Linkage”, “Science Cycle Time”, “Technology Cycle Time”",
    author = "Dongyu Zang and Chunli Liu and shuang chen",
    year = "2023",
    language = "English",
    url = "https://dapp.orvium.io/deposits/64b3f3cac4b0e7cf4f043388/view",
}