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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["reality_mining"]

reality_mining — Reality mining proximity network (2004)


A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.1

  1. Description obtained from the ICON project. 

Social Offline Unweighted Timestamps
Upstream URL OK
Tip: hover your mouse over a table header to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
reality_mining 96 1,086,404 22633.42 21814.46 58.67 19.34 0.47 0.84 3 1.00 Undirected Unipartite weight time 339 KiB 2.4 MiB 2.1 MiB 866 KiB
None drawing