Welcome, here you find a small resume of what I am doing or
I have done in my recent past, please enjoy.
I operate on the research activities within private and public
institutions, giving support to the visualization of patterns
emerging from complex phenomena and to the creation of expressive
graphical representations of big databases.
I interpret Data Visualization as a research process, driven
by images generated out of data. The computational power we
have nowadays allows for a rapid and accurate graphic
processing of information, which is able to immediately
highlight hidden knowledge on raw data. Eventually, the whole
process ends up with a well-finished interactive
visualization, beautifully designed with state of art tecnology
like SVG and D3.js.
Open Source Projects
Python module on finite regular Markov chains.
CSS color variables, usable with your favourite CSS preprocessor.
Data Visualization Projects
- Piedmont municipalities: population density vs voter turnout.
Ruler and compass construction of a pentagon.
A model for CDRs data generated by the Telecom
Italia cellular network.
Interactive visualization of the Italian Research Map database.
Tell me -
Mathematical methods relevant on selecting most influential
users on Twitter.
Custom graphical representations of epidemiological data.
3rd International Digital Disease Detection Conference
(DDD3), Florence May 20/21 2015.
Abstract: Evaluate data streams by means of Markov
Chains models, a computational approach. The current West African Ebola
outbreak poses a new challenge for the spreading of critical and
correct information at global scale. The development of
innovative forms of machine-learning that rapidly recognize and
evaluate relevant data streams in the field of Health is an
emerging priority. Moreover, the ability to discover new trends
and most influential users on the short period is an essential
quality for any social network monitoring system. We discuss
here a method based on Markov Theory and the underlying process
of development, showing practical examples and results
concerning communications about Ebola.
See my talk on this