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mturk_workers — Amazon Mechanical Turk worker communication network (2015)

Description

The communication network among workers of Amazon Mechanical Turk (MTurk), an online crowdsourcing labor market, mapped by Yin et al. Workers were recruited with a task posted on MTurk in August and September 2015, open to all workers, which was completed by 10,354 workers (approximately a census of the active workers at the time). Each worker created an anonymous nickname, and then self-reported the other workers with whom they communicate (for instance through online forums dedicated to MTurk, or one-on-one channels such as e-mail, text messages or social media), by searching for their nicknames; workers could keep adding or removing edges after completing the task, and the network corresponds to the data collected on September 13, 2015. Each node is a worker, and an undirected edge connects two workers if one of them reported communicating with the other. Most workers (86.6%) did not report any connection and are isolated nodes. The worker attributes analyzed in the paper (country, forum use, etc.) are not included in the public data.

Tags
Social Online Communication Unweighted
Citation
  • M. Yin, M. L. Gray, S. Suri, J. W. Vaughan, "The Communication Network Within the Crowd." Proceedings of the 25th International Conference on World Wide Web (WWW), 1293-1303 (2016) 10.1145/2872427.2883036 Sci-Hub
Upstream URL OK
https://mingyin.org/
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
mturk_workers 10,354 5,268 1.02 6.06 31.24 43.95 -0.10 0.26 14 0.10 Undirected Unipartite 165 KiB 221 KiB 219 KiB 172 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.