A smooth dynamic network model for patent collaboration data

Bauer, Verena; Harhoff, Dietmar und Kauermann, Goeran (2021): A smooth dynamic network model for patent collaboration data. In: Asta-Advances in Statistical Analysis, Bd. 106, Nr. 1: S. 97-116

Abstract

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.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Mathematik, Informatik und Statistik > Statistik
• Themengebiete: 500 Naturwissenschaften und Mathematik > 510 Mathematik
• ISSN: 1863-8171
• Sprache: Englisch