Fabio Lamanna

Transportation Networks  Traffic Science  Urban Mobility


english  italiano

I am working as Freelance Civil Engineer on Complex Tasks about Mobility, Urban Planning, Traffic Science and Transportation Networks.

I am now a post-doc researcher @ IFISC working on social sciences, mobility in cities and complex networks.

I live and work between Gemona del Friuli and Palma de Mallorca.

More information on my Curriculum Vitae.

This is a selection of my latest works and projects:

Tracing the Silence

A circular layout of Depeche Mode's classic "Enjoy the Silence" influence in tour history. Nodes are songs, and they’re linked together whether they’ve been played in the same gig. The thickness of the links is proportional to the amount of times two or more songs have been played together in the same concert. The node size is proportional to its weighted degree (number and frequency of connections). Data scraped from setlist.fm, and visualized with Gephi.

Deutsche Bahn Railway Network

This work shows a complex view of the German Railway Timetable Network, defined by considering stations as nodes and train paths as edges. The number of trains running in a day on every path has been added to the corresponding edge. The thickness of every directional edge is directly proportional to the number of trains scheduled in a day between every pairs of stations. The size of the name of the city is proportional to the number of trains running to and from it (representing the so called "Strength" of a node). Data taken from Zugmonitor, and visualized with Gephi.

The Cure Concerts Timeline

This map represents the history of The Cure gigs since 1979 till now. Each dot represent a concert date, spanning from the first appearances in 1979 to the latest London shows of late 2014. Data have been downloaded, parsed and cleaned with pandas thanks to the setlist.fm API, and plotted over a CartoDB map.

Venice is a Tweet*

In this little project I have plotted nearly 30.000 samples taken from eight months of geo-localised Twitter activity over Venice, along with information about the language of each tweet. Twitter data have been provided by IFISC for research purposes. Data have been parsed through Python and pandas. Language detection of the strings has been performed using the Chromium Package Detector. Data have been plotted on a map thanks to the CartoDB project.

* thanks to Tiziano Scarpa's "Venezia è un pesce".