362 citations · 435 across the 10 of their papers we have counts for
6 papers · 1 filter
Uncovering multi-technology convergence patterns with hypergraphs: Evolution and prediction using patent data
Yiwei Huang, Shuqi Xu, Shimin Cai +1
Technology convergence integrates distinct domains to create novel combinations, driving radical innovation that reshapes markets and industries. However, most approaches rely on p…
Uncovering key predictors of high-growth firms via explainable machine learning
Yiwei Huang, Shuqi Xu, Linyuan Lü +2
Predicting high-growth firms has attracted increasing interest from the technological forecasting and machine learning communities. Most existing studies primarily utilize financia…
Stock network inference: A framework for market analysis from topology perspective
Yijie Teng, Rongmei Yang, Shuqi Xu +1
From a complex network perspective, investigating the stock market holds paramount significance as it enables the systematic revelation of topological features inherent in the mark…
Forecasting countries' gross domestic product from patent data
Yucheng Ye, Shuqi Xu, Manuel Sebastian Mariani +1
Recent strides in economic complexity have shown that the future economic development of nations can be predicted with a single "economic fitness" variable, which captures countrie…
Citations or dollars? Early signals of a firm's research success
Shuqi Xu, Manuel S. Mariani, Linyuan Lü +3
Scientific and technological progress is largely driven by firms in many domains, including artificial intelligence and vaccine development. However, we do not know yet whether the…
Percolation on complex networks: Theory and application
Ming Li, Run-Ran Liu, Linyuan Lü +3
In the last two decades, network science has blossomed and influenced various fields, such as statistical physics, computer science, biology and sociology, from the perspective of…