2015/02/01 by Loet Leydesdorff, Leydesdorff, Loet, Wouter de Nooy +1
Biochemistry, Genetics and Molecular Biology · Decision Sciences · Physics and Astronomy · #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #Digital Libraries (cs.DL) #FOS: Computer and information sciences #scientometrics and bibliometrics research
paper · pdf · doi:10.48550/arxiv.1502.00229
openalex publication_date 2015/02/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 journals by importing the transition matrices into network analysis and visualization programs (and using community-finding algorithms). Seventy-four journals are flagged in terms of discontinuous changes in their citations; but 3,114 journals are involved in "hot" links. Most of these links are embedded in a main component; 78 clusters (containing 172 journals) are flagged as potential "hot spots" emerging at the network level. An additional finding is that PLoS ONE introduced a new communication dynamics into the database. The limitations of the methodology are elaborated using an example. The results of the study indicate where developments in the citation dynamics can be considered as significantly unexpected. This can be used as heuristic information; but what a "hot spot" in terms of the entropy statistics of aggregated citation relations means substantively can be expected to vary from case to case.