Using the complete Journal Citation Reports (Science Citation Index,
SCI, and Social Sciences Citation Index, SSCI) during the period
1994-2016 as data, we address the question of change and stability in
the sciences at the level of the (n2) aggregated citation links between
(n) journals. Information theory enables us to study longitudinal
developments first at the level of cells and then to aggregate, since
the Shannon-formulae are based on using Ss. Micro-developments in the
data can thus be related to theorizing about the sciences in terms of
distributed change (Price, 1976; cf. Kuhn, 1962).