colombia_calls_mobility — Colombian municipality call and mobility networks (2014)

Description

Two networks among the 863 municipalities of Colombia, derived from the anonymized metadata of mobile phone calls of the operators of Colombia, from Coscia and Hausmann. For each call, the data record the (anonymized) caller and callee, the time of the call, and the phone tower to which the caller was connected. Only phones that made and received at least six calls during the observation period were kept, to remove foreign phones and special numbers (e.g. call centers). The towers were aggregated by municipality. The paper does not state the observation period precisely (its example call is from December 2013); ICON dates the data to 2014.

calls: each phone is assigned to the municipality of the tower it connected to most frequently, and each call is counted as a directed edge from the municipality of the caller to the municipality of the callee.
mobility: a directed edge from municipality A to municipality B is counted whenever a phone made two consecutive calls, the first in A and the second in B.

These are the complete aggregated networks distributed with the paper. In the paper, the most significant edges were then selected, keeping the maximum spanning tree and the edges that are statistically significant according to the disparity filter of Serrano et al. (this filtering is not applied here).

The networks have the following properties:

Nodes: code, the code of the municipality (DANE code prefixed with "M"); name, the name of the municipality.
Edges: weight, the number of calls (calls) or observed movements (mobility) from the source to the target municipality.

Tags

Social Communication Travel Weighted Metadata

Citation

M. Coscia, R. Hausmann, "Evidence That Calls-Based and Mobility Networks Are Isomorphic." PLOS ONE 10(12), e0145091 (2015) 10.1371/journal.pone.0145091 Sci-Hub

Upstream URL OK

https://doi.org/10.1371/journal.pone.0145091

Upstream license

Creative Commons Attribution 4.0 International (CC BY 4.0), https://creativecommons.org/licenses/by/4.0/

Networks

Tip: click on a column header to sort the list, or hover over it for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
calls	863	438,484	508.09	402.77	615.37	0.64	-0.22	0.80	3	1.00	Directed	Unipartite	code name	weight	606 KiB	1.8 MiB	1.9 MiB	1.4 MiB
mobility	863	173,857	201.46	269.96	328.22	1.84	-0.14	0.57	3	1.00	Directed	Unipartite	code name	weight	296 KiB	776 KiB	763 KiB	580 KiB