Abstract

Complex systems research and network science have recently been used to provide novel insights into economic phenomena, such as patenting behavior and innovation in firms. Studies have found that increased inventor mobility, through firm switching or transitioning, is associated with higher overall productivity. This paper proposes a structural study of transitioning inventors and their role in patent co-authorship networks within a cohort of highly innovative and economically influential companies, namely the five Big Tech firms (Apple, Microsoft, Google, Amazon, and Meta) during the post-recession period (2010–2022). Using Big Tech patent data, we empirically investigate three research questions. Our findings indicate that transitioning inventors exhibit a higher degree of centrality than average, and their removal results in greater network fragmentation than expected by chance. The transition rate over the 12 …

Metadata

publication

Social Network Analysis and Mining Applications in Healthcare and Anomaly …, 2024

year

2024

publication date

2024/10/9

authors

Yidan Sun, Mayank Kejriwal

link

https://link.springer.com/chapter/10.1007/978-3-031-75204-9_12

book

Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection

pages

291-316

publisher

Springer Nature Switzerland