The participation of people in social networks is a valuable source of information and that has grown exponentially in recent years. In this Lab we do a test to see how the access to information and its analyses allows us to know what happens in the city (or territory) from the perspective of those who inhabit it and while the phenomenon is generating.
Here we use the social network Twitter to study in detail the impact of the storm of "Santa Rosa", which presents itself as we know every year towards the end of August, and the unexpected "summer" that precedes it, had on the Metropolitan Area of the city of Buenos Aires (AMBA). Like many other metropolitan areas of the world, the AMBA is a complex system with an area of approximately 3,830 km2 (1,480 sq mi), with nearly 14 million inhabitants, and economic activity that represents 40% of the gross domestic product of Argentina. To make this analysis we gathered the tweets that mention the storm of "Santa Rosa" or terms related to this event and with the prior "summer" that preceded it (such as: cold, heat, rain, flooding and hail) between 18 and 26 August of the year 2014. This allowed us to visualize the evolution in time, throughout the day, and the geographical dispersion in the territory, showing how the storm arose and what was the reaction of the users of the social network Twitter (Figure 1).
Figure 1. Geographic dispersion of the impact of the "Santa Rosa" storm over the city of Buenos Aires according to Twitter.
This type of information distributed spatially on complex systems, such as the large metropolitan areas, can be used to effectively understand how cities and territories work. In BerecoLabs we are creating tools to use this knowledge to develop policies and strategies for management of the cities and territories so that they become more intelligent and in particular to increase their resilience against variabilities and climate change.