A smooth dynamic network model for patent collaboration data

Abstract The development and application of models, which take the evolution network dynamics into account, are receiving increasing attention. We contribute to this field focus on a profile likelihood approach model time-stamped event data for large-scale dynamic network. investigate collaboration inventors using EU patent data. As we consider submission joint explore driving forces between inventors. propose flexible semiparametric model, includes external internal covariates, where latter built from history.