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.

Property	New York	Chicago	SF	All
$|V^{\mathcal{M}}|$	6,401	2,883	1,705	10,989
$|E^{T\cap F}|$	9,101	5,486	1,517	16,104
$|E^{T\mathrm{\setminus }F}|$	13,623	7,949	1,776	23,348
$|E^{F\mathrm{\setminus }T}|$	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