Visualization of the large-scale collections of information became one of
the essential purpose in data analysis. The new methods of visualization are increasingly
applied as a significant component in scientific research. Particularly qualitative nature of
Infoviz studies (Information visualization) can be combined with quantitative character of
digital libraries volumes. This paper describes and demonstrates the case of hierarchical
structure visualization i.e. visual representation of both classification adopted by ACM
(Association for Computing Machinery ) digital library and classification universe. Given
maps were processed by nonlinear graphical filters. Finally fractal dimension (FD) and
derived techniques have used to analyze the patterns of clusters on the visualization
maps. Quantification of output graphical representation by means of fractals makes
possible to adjust visualization parameters as well as evaluate initial classification
scheme and its dynamical characteristics
