Although
human movement and mobility patterns have a
high degree of freedom and variation, they also
exhibit structural patterns due to geographic and
social constraints. Using cell phone location
data, as well as data from two online locationbased
social networks, Cho et al. [12] aim to
understand the basic laws that govern human
motion and dynamics. It is found that humans
experience a combination of strong short-range
spatially and temporally periodic movement that
is not impacted by the social network structure,
while long-distance travel is more influenced by
the social network ties. Furthermore, it is shown
that social relationships can explain about 10 to
30 percent of all human movement, while periodic
behavior explains 50 to 70 percent. Based
on these findings, a model of human mobility is
proposed that combines periodic short-range
movements with travel due to the social network
structure and gives an order of magnitude better
performance than previous models.