Figure 2

Communities detected in Twitter networks. In (a), the communities extracted from the network \(N_{m}\) of municipalities, using a timescale \(\rho =1\). From (b) to (f), each figure, shows the spatial regions belonging to a different partition on a community detection performed with a value of scale parameter to give a partition into 5 communities of individual (non-aggregated) Twitter users. We have used a timescale \(\rho =10\), in order to illustrate the case with a number of communities (namely 5) comparable to the 7 communities of the \(N_{m}\) network. The colour intensity in each municipality represents the proportion of users positioned in this municipality who belong to the community being represented