Transistors: A Network Science-Based Historical Perspective
Alexandre Benatti, Henrique Ferraz de Arruda, Filipi Nascimento Silva,, and Luciano da Fontoura Costa

TL;DR
This paper uses network science to analyze the historical development of bipolar junction transistors, revealing thematic coherence, distinct periods, and stable interrelationships among research areas over time.
Contribution
It introduces a systematic, quantitative approach to studying electronics development using community detection and topological analysis of scientific literature.
Findings
Identified 10 research sub-areas with thematic coherence
Mapped the timeline of bipolar junction technology evolution
Discovered stable interrelationships among research areas over time
Abstract
The development of modern electronics was to a large extent related to the advent and popularization of bipolar junction technology. The present work applies science of science concepts and methodologies in order to develop a relatively systematic, quantitative study of the development of electronics from a bipolar-junction-centered perspective. First, we searched the adopted dataset (Microsoft Academic Graph) for entries related to "bipolar junction transistor". Community detection was then applied in order to derive sub-areas, which were tentatively labeled into 10 overall groups. This modular graph was then studied from several perspectives, including topological measurements and time evolution. A number of interesting results are reported, including a good level of thematic coherence within each identified area, as well as the identification of distinct periods along the time…
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Taxonomy
TopicsComplex Network Analysis Techniques · Machine Learning in Materials Science · Computational Drug Discovery Methods
