Figure 3From: Measuring the effect of node aggregation on community detectionCommunities detected in the Twitter network aggregated into grids of square cells of different sizes (a–b, d, f), aggregated at the level of former municipalities, \(N_{fm}\), (c), and at the level of current municipalities in Belgium, \(N_{m}\), (e). The timescale parameter ρ is set to 1. As the aggregation classes become larger and larger they step over several communities forcing a rearrangement of the communities, resulting in another partitionBack to article page