The statistical properties of the World Wide Web have attracted considerabl
e attention recently since selfsimilar regimes were first observed in the s
caling of its link structure. One characteristic quantity is the number of
(in-)links k that point to a particular web page. Its probability distribut
ion P (k) shows a pronounced power-law scaling P (k) similar to k-gamma tha
t is not readily explained by standard random graph theory. Here, we recall
a simple and elegant model for scaling phenomena in general copy- and grow
th-processes as proposed by Simon in 1955. When combined with an experiment
al measurement of network growth in the World Wide Web, this classical mode
l is able to model the in-link dynamics and predicts the scaling exponent g
amma =2.1 in accordance with observation.