2019/09/02 by Bauer, Verena, Harhoff, Dietmar, Kauermann, Göran · 2 citations
#Applications (stat.AP) #FOS: Computer and information sciences
paper · doi:10.48550/arxiv.1909.00736
The development and application of models, which take the evolution of network dynamics into account are receiving increasing attention. We contribute to this field and focus on a profile likelihood approach to model time-stamped event data for a large-scale dynamic network. We investigate the collaboration of inventors using EU patent data. As event we consider the submission of a joint patent and we explore the driving forces for collaboration between inventors. We propose a flexible semiparametric model, which includes external and internal covariates, where the latter are built from the network history.