Characterizing scientific production and consumption in Physics
Qian Zhang, Nicola Perra, Bruno Goncalves, Fabio Ciulla, Alessandro, Vespignani
TL;DR
This study analyzes 50 years of Physics publication data to map global knowledge production and consumption, identifying key cities and dynamics in scientific activity using novel ranking and diffusion proxies.
Contribution
It introduces a methodology combining longitudinal citation networks and geolocalized analysis to characterize the spatio-temporal dynamics of Physics knowledge worldwide.
Findings
Key cities in Physics knowledge production and consumption identified over time
Top cities for Physics research characterized using new ranking algorithms
Methodology enables comparative studies across disciplines
Abstract
We analyze the entire publication database of the American Physical Society generating longitudinal (50 years) citation networks geolocalized at the level of single urban areas. We define the knowledge diffusion proxy, and scientific production ranking algorithms to capture the spatio-temporal dynamics of Physics knowledge worldwide. By using the knowledge diffusion proxy we identify the key cities in the production and consumption of knowledge in Physics as a function of time. The results from the scientific production ranking algorithm allow us to characterize the top cities for scholarly research in Physics. Although we focus on a single dataset concerning a specific field, the methodology presented here opens the path to comparative studies of the dynamics of knowledge across disciplines and research areas
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