alaska_subsistence — Subsistence flows in Alaska Native communities (2009-2010)

Description

Multiplex, directed and weighted networks of the flows of subsistence-related goods and services among households in three remote Alaska Native communities exposed to climate change and industrial development: Kaktovik (kaktovik; the upstream file is named "Kaktovi"), Venetie (venetie) and Wainwright (wainwright). The data was collected in in-person socio-economic surveys of the heads of household in 2009 and 2010, which covered 70 of the 85 households of Kaktovik, 84 of 89 in Venetie and 146 of 156 in Wainwright.

Nodes are households or crews, and also other sources of resources, such as organizations; they are identified only by anonymous numbers. Each layer corresponds to a pair of a resource (7 to 10 core resources in each community, such as caribou, bowhead whale, beluga, moose, seal, ducks, geese or berries) and a social relation through which it flows (7 to 10 kinds, such as sharing or trading), giving 37 layers in Kaktovik, 43 in Venetie and 36 in Wainwright. A directed edge from one node to another in a layer represents the flow of the resource through the social relation, in the direction given in the source file (from the first to the second node), weighted by the value of the flow; according to the paper, the wild food data was converted to edible pounds, but how the other flows were converted is not stated. The layers are numbered only: the names of the layers (resource-relation pairs) are not included in the upstream data, and the mapping of the numbers to the resource and relation codes of the paper is not available.

The source files also contain interlayer edges, which connect every node to itself in every pair (in both directions) of the layers in which it has edges, all with the same weight in each community (163.8675568 in kaktovik, 58.2647048 in venetie, 252.8067854 in wainwright). They carry no information beyond the layers in which each node is active, and are not included here; their weight is stored as the graph property interlayer_weight. A few node pairs are listed twice in the same layer and direction (38 in kaktovik, 14 in venetie, 29 in wainwright), sometimes with different weights; both edges are kept. The nodes are numbered from 1 to 164, 206 and 218, respectively, as in the source; in each community one of these numbers does not appear in any edge, and the corresponding node is isolated.

The networks have the following properties:

node_id: the anonymous number of the node in the source.
Edge layer: the number of the layer (resource-relation pair), from 1 to the number of layers.
Edge weight: the value of the flow.
Graph interlayer_weight: the weight of the interlayer edges of the source, which are not included.

Tags

Social Offline Economic Weighted Multigraph Multilayer

Citation

J. A. Baggio, S. B. BurnSilver, A. Arenas, J. S. Magdanz, G. P. Kofinas, M. De Domenico, "Multiplex social ecological network analysis reveals how social changes affect community robustness more than resource depletion." Proceedings of the National Academy of Sciences 113(48), 13708-13713 (2016) 10.1073/pnas.1604401113 Sci-Hub

Upstream URL OK

https://github.com/CoMuNeLab/Alaska

Upstream license

GNU General Public License v3.0, https://github.com/CoMuNeLab/Alaska/blob/master/LICENSE

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	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
kaktovik	164	1,815	11.07	37.34	22.09	2.65	0.01	0.44	6	0.99	Directed	Unipartite	node_id	layer weight	9 KiB	16 KiB	15 KiB	11 KiB
venetie	206	1,355	6.58	19.88	14.15	5.89	0.01	0.25	6	0.99	Directed	Unipartite	node_id	layer weight	9 KiB	14 KiB	14 KiB	11 KiB
wainwright	218	2,694	12.36	35.83	24.04	2.30	-0.22	0.22	5	1.00	Directed	Unipartite	node_id	layer weight	13 KiB	23 KiB	22 KiB	16 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.