During the industrial era, the digital environment was static – users recorded data without distinction. During the post-industrial era, generating and recording data becomes more dynamic. The system processes data while taking into account the factor of time. Today, RSS feeds, blogs, tweets, Facebook messages are all recorded on a timeline that automatically organizes the data on a chronological axis ; specialists talk about a Worldstream or digital world view in real time.

This predictive approach analyzes in real time the flow of data, in order to extract data about data. These techniques combine data mining and real-time analysis with the Early Warning System, etc. This interpretation of the real-time traffic information does not replace the traditional scientific analysis, but complements it (chapter 1, no. 10).

For example, the following millions of tweets are distributed on a US map upon which specialists can detect hot spots that develop in real time, thus identifying potential crises in the making :

(Global disease alert map, MIT)

A system like HealthMap can synthesize all these analyses by the health sector in order to better understand the country or an epidemic, etc. :

(Global disease alert map, MIT)