This page is currently under construction and it will
be expanded later.
In order to gain insight into data collected from
networks and network simulations, we have developed an
information visualization tool called DiVisa.
DiVisa is a multi-dimensional visualization tool developed for
researchers to understand the behavior of their data.
From raw data, the user can interact with the visualization
in order to obtain different "points of views" and thus to
extract more information from the data.
Geometrical forms such as squares, ellipses or lines are
associated with data and visual attributes such as
position, size, shape, color, stroke are used to represent
different dimensions. Indeed, the researcher can easily
modify the associations between data items and visual attributes,
apply mathematical functions on and between items, subset and
zoom in on areas, data ranges, or times of interest,
superpose curves with transparency to compare them, and
animate the visualization to show time series data.
Moreover, the program can read any kind of data
(simulation, statistics, text or numeric, etc.), and
converters have been implemented to read several data
formats without need for reformatting.