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Characterizing scientific production and consumption in physics

Characterizing scientific production and consumption in physics

Zhang, Qian, Perra, Nicola, Goncalves, Bruno, Ciulla, Fabio and Vespignani, Alessandro (2013) Characterizing scientific production and consumption in physics. Scientific Reports, 3:1640. ISSN 2045-2322 (Print), 2045-2322 (Online) (doi:https://doi.org/10.1038/srep01640)

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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.

Item Type: Article
Additional Information: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareALike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
Uncontrolled Keywords: Data science, Citation networks
Faculty / Department / Research Group: Faculty of Business > Centre for Business Network Analysis (CBNA)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Last Modified: 28 Oct 2016 13:20
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/14937

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