reality_mining — Reality mining proximity network (2004)

Description

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

Description obtained from the ICON project. ↩

Tags

Social Offline Unweighted Timestamps

Citation

N. Eagle & A. Pentland, "Reality mining: sensing complex social systems." Personal and Ubiquitous Computing 10(4), 255-268 (2006). 10.1007/s00779-005-0046-3 Sci-Hub

Upstream URL OK

http://konect.cc/networks/mit

Networks

Tip: hover over a column header 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
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	354 KiB	2.4 MiB	2.0 MiB	866 KiB

Ridiculograms^*

^* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.