anybeat — Anybeat social network (2012)

Description

A snapshot of the social network among users of Anybeat, an online community described as a public gathering place where people can interact with others from their neighborhood or across the world. Nodes are users, and a directed edge $i \to j$ means that user $i$ follows user $j$. The data were collected and anonymized by M. Fire and collaborators at Ben-Gurion University of the Negev, and released in 2012 as part of their study of link prediction. The service has since been shut down.

The network has the following properties:

(Node) name: the anonymized user identifier.

Tags

Social Online Unweighted

Added

2020-08-11

Citation

M. Fire, R. Puzis, & Y. Elovici. "Link prediction in highly fractional data sets." In Handbook of Computational Approaches to Counterterrorism. Springer, pp. 283-300 (2013) 10.1007/978-1-4614-5311-6_14 Sci-Hub

Upstream URL ☠

The upstream source has since vanished. The files can be temporarily accessed here.

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
anybeat	12,645	67,053	5.30	89.97	92.23	41.02	-0.12	0.02	10	1.00	Directed	Unipartite	name		323 KiB	497 KiB	492 KiB	410 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.