human_cranium — Human cranial measurement correlation networks (1973)

Description

Weighted networks of correlations among cranial measurements of modern humans, from the craniometric data set of W. W. Howells. The data were compiled by M. Cantor and collaborators for a study of nestedness across levels of biological organization, and are distributed in the repository of that study (files ind_craniam.txt, ind_craniaf.txt and ind_craniaeurope.txt). Following the approach of S. I. Perez and collaborators for detecting modules in complex phenotypes, nodes are 44 anatomically defined cranial measurements (distances between craniometric landmarks), and an undirected edge connects every pair of measurements, weighted by the Pearson correlation coefficient between them, which can be negative (all networks are complete graphs with signed weights). The measurements are not identified in the source data, but are the same, and in the same order, in the three networks.

males: correlations among the 44 measurements averaged per population, over 30 recent modern human populations distributed worldwide (1,367 male individuals).
females: the same, for 1,823 female individuals.
europe_males: correlations among the measurements of 164 individual males from three European samples (Norse, medieval Oslo; Zalavar, Hungary; and Berg, Carinthia, Austria).

The edges have the property weight, the Pearson correlation coefficient.

Tags

Biological Weighted Signed

Citation

W. W. Howells, "Cranial variation in man: A study by multivariate analysis of patterns of difference among recent human populations." Papers of the Peabody Museum of Archaeology and Ethnology 67, 1-259 (1973) web.archive.org
S. I. Perez, M. A. M. de Aguiar, P. R. Guimarães Jr., S. F. dos Reis, "Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory." Evolutionary Biology 36, 416-422 (2009) 10.1007/s11692-009-9074-7 Sci-Hub
M. Cantor, M. M. Pires, F. M. D. Marquitti, R. L. G. Raimundo, E. Sebastián-González, P. P. Coltri, S. I. Perez, D. R. Barneche, D. Y. C. Brandt, K. Nunes, F. G. Daura-Jorge, S. R. Floeter, P. R. Guimarães Jr., "Nestedness across biological scales." PLoS ONE 12(2), e0171691 (2017) 10.1371/journal.pone.0171691 Sci-Hub

Upstream URL OK

https://bitbucket.org/maucantor/unodf_analyses

Networks

Tip: click on a column header to sort the list, or hover over it 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	$\left<k\right>$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	EPs	gt	GraphML	GML	csv
males	44	946	43.00	42.00	0.03	nan	1.00	1	1.00	Undirected	Unipartite	weight	8 KiB	12 KiB	12 KiB	11 KiB
females	44	946	43.00	42.00	inf	nan	1.00	1	1.00	Undirected	Unipartite	weight	8 KiB	12 KiB	12 KiB	11 KiB
europe_males	44	946	43.00	42.00	inf	nan	1.00	1	1.00	Undirected	Unipartite	weight	8 KiB	9 KiB	9 KiB	7 KiB