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hiv_cluster_1984 — Sexual contacts of early AIDS patients (1984)

Description

A network of sexual contacts between 40 men with the acquired immune deficiency syndrome (AIDS), from the cluster of early cases in the USA investigated by the Centers for Disease Control (CDC) by Auerbach et al. (1984), as distributed by KONECT (from P. Holme's collection). This network is the origin of the phrase "patient zero", for the patient who links several groups of cases (labeled "patient O", for "out of California", in the study). Each node is a patient, and an undirected edge connects two patients who reported a sexual contact. The data identify the patients only by indices (the labels and cities of the study are not included). Only the largest connected component is included.

Tags
Social Offline Public Health Unweighted
Citation
  • D. M. Auerbach, W. W. Darrow, H. W. Jaffe, J. W. Curran, "Cluster of cases of the acquired immune deficiency syndrome: Patients linked by sexual contact." The American Journal of Medicine 76(3), 487-492 (1984) 10.1016/0002-9343(84)90668-5 Sci-Hub
  • J. Kunegis, "KONECT -- The Koblenz Network Collection." Proceedings of the 22nd International Conference on World Wide Web Companion, 1343-1350 (2013) 10.1145/2487788.2488173 Sci-Hub
Upstream URL OK
http://konect.cc/networks/hiv
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
hiv_cluster_1984 40 41 2.05 1.47 1.22 41.72 -0.28 0.03 10 1.00 Undirected Unipartite 2 KiB 3 KiB 2 KiB 2 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.