Berlin transport network Complex TIME = net.work: the complexity of space-time transport networks. Fabio Lamanna
Over the past decade the properties 'small world' and 'scale-free' areas of complex systems have been the subject of numerous studies aimed at determining the characteristics common to different types of networks and their dynamics. My passion for social networks and transport networks has led me to investigate topics related to "complex networks", thanks to the illuminating essay by the Hungarian physicist reading Barabasi AL Link. Science of Networks (Einaudi, 2004).
The new mathematical tool that I have developed applies the most common theories related to complex systems to transport networks in terms of temporal characteristics such as, for example, compliance with a timetable or a scheduled service. The case study that I have implemented the most comprehensive tool time = net.work concerns the core network and public transport in Berlin, divided into four different modes: U-bahn, S-Bahn, Regional Bahn Metronetz (Bus and Tram).
In particular, analyzing and displaying the network from a service point of view, the system of Berlin is transformed into a traffic jam "ordered" of connections, each representing a direct link between a node "station" to another. The size of the nodi è direttamente proporzionale alla ‘betweenness’ o ‘medietà’, cioè alla quantità di percorsi minimi (in termini di tempo e frequenze) che li attraversano.
Da questa misura associata ad una nuova misura di efficienza della rete è stato possibile identificare gli elementi chiave necessari a garantire la più completa efficienza nelle comunicazioni tra i nodi della rete.
Le visualizzazioni della rete sono state ottenute dai dati di output di time=net.work e da alcuni comuni software di visualizzazione ‘free’ quali yEd Graph Editor.
I think it is appropriate to include at least one video, maybe more of the images show the visual and sound quality of this space is constantly changing.