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The dynamics of journal‐journal citation relations: Can “hot spots” in the sciences be mapped?
Author(s) -
Leydesdorff Loet
Publication year - 2015
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.2015.145052010059
Subject(s) - citation , dependency (uml) , computer science , visualization , margin (machine learning) , entropy (arrow of time) , column (typography) , data science , information retrieval , data mining , library science , artificial intelligence , machine learning , physics , quantum mechanics , telecommunications , frame (networking)
Using three years of the Journal Citation Reports (2011, 2012, and 2013), indicators of transitions in 2012 (between 2011 and 2013) are studied using methodologies based on entropy statistics. Changes can be indicated at the level of journals using the margin totals of entropy production along the row or column vectors, but also at the level of links among groups of journals by importing the transition matrices into network analysis and visualization programs (and using community‐finding algorithms). The limitations of the methodologies (e.g., size‐dependency) are also discussed. PLoS ONE has introduced a new communication dynamics into the database.