@conference {
    orvium-64414ce3a715e8ec9a35cea1,
    title = "Research on Identification Methods of Technology Convergence of Blockchain, Artificial Intelligence and Internet of Things",
    abstract = "With the rapid development of science and technology in today's world, the phenomenon of convergence across disciplines, technologies, and industries has become the mainstream of innovation development. From the emerging technology convergence of artificial intelligence, blockchain and Internet of Things in cybersecurity, this paper explores the key technologies of potential convergence in three technology areas. First, the convergence trend and convergence intensity over time are analyzed. Second, the link prediction is used to analyze the potential key technologies in the convergence perspective. This paper focuses on emerging technology convergence. It analyzes convergence trends in various technology areas and predicts potential convergence technologies. It helps innovators seize technology opportunities and plan R&D strategies by identifying and discovering key technologies for emerging technology convergence.",
    keywords = "Technology Convergence, link prediction, social network analysis",
    author = "Shuying Li and Edwin Garces and Xiaoyu Wang and Xin  Zhang and Xian  Zhang and Chunjiang Liu",
    year = "2023",
    language = "English",
    url = "https://dapp.orvium.io/deposits/64414ce3a715e8ec9a35cea1/view",
}