Physics – Data Analysis – Statistics and Probability
Scientific paper
2009-11-03
Journal of Informetrics 4, 278-290 (2010)
Physics
Data Analysis, Statistics and Probability
14 pages, 7 figures, 8 tables. Version 2: various small additions in response to referee comments
Scientific paper
10.1016/j.joi.2010.01.001
We investigate the community structure of physics subfields in the citation network of all Physical Review publications between 1893 and August 2007. We focus on well-cited publications (those receiving more than 100 citations), and apply modularity maximization to uncover major communities that correspond to clearly-identifiable subfields of physics. While most of the links between communities connect those with obvious intellectual overlap, there sometimes exist unexpected connections between disparate fields due to the development of a widely-applicable theoretical technique or by cross fertilization between theory and experiment. We also examine communities decade by decade and also uncover a small number of significant links between communities that are widely separated in time.
Chen Pisin
Redner Sid
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