Abstract
The need for dependable and real-time insights on technological paradigm shifts requires objective information. We develop a lean recommender system which predicts emerging technology by a sequential blend of machine learning and network analytics. We illustrate the capabilities of this system with patent data and discuss how it can help organizations make informed decisions.
Research Paper
Closed Access research paper available here: Identifying Emerging Technologies and Influential Companies Using Network Dynamics of Patent Clusters.
BibTex
@Inbook{Tsesmelis2023,
author="Tsesmelis, Michael
and Dolamic, Ljiljana
and Keupp, Marcus M.
and Percia David, Dimitri
and Mermoud, Alain",
editor="Keupp, Marcus Matthias",
title="Identifying Emerging Technologies and Influential Companies Using Network Dynamics of Patent Clusters",
bookTitle="Cyberdefense: The Next Generation",
year="2023",
publisher="Springer International Publishing",
address="Cham",
pages="103--122",
abstract="The need for dependable and real-time insights on technological paradigm shifts requires objective information. We develop a lean recommender system which predicts emerging technology by a sequential blend of machine learning and network analytics. We illustrate the capabilities of this system with patent data and discuss how it can help organizations make informed decisions.",
isbn="978-3-031-30191-9",
doi="10.1007/978-3-031-30191-9_7",
url="https://doi.org/10.1007/978-3-031-30191-9_7"
}