  This work presents some characteristics of MoNet, a digital platform for the
modeling and visualization of complex systems. Emphasis is on the ideas that
allowed the successful progressive development of this modeling platform, which
goes along with the implementation of applications to the modeling of several
studied systems. The platform can represent different aspects of systems
modeled at different observation scales. This tool offers advantages in the
sense of favoring the perception of the phenomenon of the emergence of
information, associated with changes of scale. This paper also includes some
criteria used for the construction of this modeling platform. The power of
current computers has made practical representing graphic resources such as
shapes, line thickness, overlaying-text tags, colors, and transparencies, in
the graphical modeling of systems. By visualizing diagrams conveniently
designed to highlight contrasts, these modeling platforms allow the recognition
of patterns that drive our understanding of systems and their structure. Graphs
reflecting the benefits of the tool regarding the visualization of systems at
different scales of observation are presented to illustrate the application of
the platform.
