Analysis of local vs. foreign users.

(A) & (B) Differential distributions of local vs. foreign users over CABA+ and CABA extents, respectively. Blue (red) indicates where foreign (local) users tweet more prominently. The graph in (A) shows that foreign users are much more strongly represented within the city than in the surrounding area, while the graph in (B) shows that they are mostly localized to the eastern and north-eastern part of the city along the coast in the neighborhoods of Palermo, Recolleta, Retiro, San Nicolás, Monserrat, Puerto Madero, San Telmo and La Boca, outlined in black. (C) & (D) Maps of the locations of monuments, museums and other attractions extracted from Google Maps, plotted over the extents of CABA+ and CABA, respectively. The pattern of these attractions matches very well with the pattern of tweeting by foreign users both on the extents of CABA+ and CABA, indicating tourism as a strong candidate as a driver of the pattern. The highest concentration of blue bins is in the area of the Central Business District, identified in Fig 8B, which is known as the cultural and business center of Buenos Aires [42], indicating business as another potential driver. (E) & (F) Frequency comparison plots for CABA+ and CABA, respectively. The plots show a wide dispersion of points around the exact-correlation line, indicating the presence of moderately strong signal. The dispersion appears slightly greater in the CABA+ than in the CABA data, which agrees with CABA+ having a stronger signal, as measured by both the Pearson correlation and Kolmogorov-Smirnov statistic-based metrics. CABA+ Statistics: NT = 764,661, NR = 20,237, SPCC = 0.22, KSS = 0.17, GMI = 0.11 CABA Statistics: NT = 442,638, NR = 13,106, SPCC = 0.07 KSS = 0.11, GMI = 0.04. Base map and data from OpenStreetMap and OpenStreetMap Foundation under the Open Database License (Fig 10A–10D).