Power Laws in the Information Production Process: Lotkaian Informetrics

By Leo Egghe. 2005

305 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/840281be6f2b8bbccf7a12c02ea82aadb378e769

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Informetrics at the beginning of the 21st century - A review (2008, background): “Egghe and Rousseau (2000b) studied the effects of growth on the citing distribution: with growth there are more items to be referenced, and the faster a field grows there is more “competition” among the older papers to get into the reference list of the newer ones. van Raan (2000a) proposed a model ”
A visual analytics approach to understanding cycling behaviour (2012, unknown): “Generally, the liquid surface area increases several times by the onset of breakup.”
A review of theory and practice in scientometrics (2015, background): “The historian, Derek de Solla Price (1963; 1965), was one of the first to see the importance of networks of papers and authors and also began to analyse scientometric processes, leading to the idea of cumulative advantage (Price, 1976), a version of “success to the successful” (Senge, 1990) or “succ”
Interpreting informational cues: An explorative study on information use among prospective homebuyers (2009, unknown): “We adapt the framework described in Egghe (2005) and consider a given size-frequency function f : [1,∞[→]0, C] of the form f(j) = C jα (1)”
Theory and practise of the g-index (2006, methodology): “Taking j = 1 in (13) and (14) we see that the total number of sources T equals 1 − α C and that the total number of items A equals 2 − α C , hence 2 1 − − = = α α µ T A (22) equals the average number of items per source (cf. also EGGHE (2005), Chapter II).”