  We present a collection of networks that describe the travel patterns between
municipalities in Mexico between 2020 and 2021. Using anonymized mobile device
geo-location data we constructed directed, weighted networks representing the
(normalized) volume of travels between municipalities. We analysed changes in
global (graph total weight sum), local (centrality measures), and mesoscale
(community structure) network features. We observe that changes in these
features are associated with factors such as Covid-19 restrictions and
population size. In general, events in early 2020 (when initial Covid-19
restrictions were implemented) induced more intense changes in network
features, whereas later events had a less notable impact in network features.
We believe these networks will be useful for researchers and decision makers in
the areas of transportation, infrastructure planning, epidemic control and
network science at large.
