Table 1 Dataset properties: number of users (nodes); number of multiplex links (edges); number of Twitter and Foursquare only edges; average global and core degrees; activity and venues per city.

\(|V^{\mathcal{M}}|\)

6,401

2,883

1,705

10,989

\(|E^{T \cap F}|\)

9,101

5,486

1,517

16,104

\(|E^{T \backslash F}|\)

13,623

7,949

1,776

23,348

\(|E^{F \backslash T}|\)

6,394

4,202

863

11,459

\(\langle k_{GN}\rangle\)

4.55

6.12

2.44

4.63

\(\langle k_{CN}\rangle\)

1.42

1.9

0.89

1.47

tweets

2,509,802

1,288,865

632,780

4,431,447

checkins

228,422

105,250

46,823

380,495

venues

24,110

11,773

6,934

42,817