Tav. 10 Urban pattern from social networking activity
The representation returns the pattern in a regular grid of 50m of intensity activities derived from social networks (Twitter, Facebook and Foursquare). A greater number of “Tweet”, “Place” and “Tag” in a cell corresponds to brownish colors, while a smaller number corresponds to a color tone of beige. This model, replicable in other urban contexts, is able to monitor the dynamics of use of these platforms in the city investigated not from the point of view of supply of static services, but also by the point of view of a dynamic use.
The latter being more useful to the sustainable management of services provision, mobility or energy management.
(Data source: Twitter API, Facebook, Fousquare API)
Tav. 11 Distribution of social networks activity (Twitter) [Heat Map]
The representation returns the distribution of twitter activity with reference to different timeframes through the use of a concentration algorithm called “Heat Map”. The four representations show the streaming of human data that originate by Twitter. The social network twitter.com has been chosen for the peculiarities in providing in real-time information and space-time information that are useful for example in the analysis of flows to and from work and/or leisure places.
The location of users is able to monitor the dynamics of the use of city functions, investigated not only from the point of view of static services supply, but also by the point of view of a dynamic use. The latter being more useful to the sustainable management of services provision, mobility or energy management. The same information was also represented through appropriate temporal filters and text. The elaborations show the Twitter activity filtered on two days (13 and 14 March), with hashtag “Palermo” and chosen by the presence of an event (the match of the team of Palermo Soccer team) or a normal daily operation. Through Data Mining analysis, you can monitor the mutation of urban polarities according to the different “urban social metabolism”.
The same processing in 3d show even more clearly the information and, in the case of representation in contour lines, show that changes the urban “morphology” observed with the filter of social networks.
(Data source: Twitter API)
Quest’opera è distribuita con Licenza Creative Commons Attribuzione – Non commerciale – Non opere derivate 4.0 Internazionale.