/Alaska

Multiplex network data used in the paper "Multiplex social ecological network analysis reveals how social changes affect community robustness more than resource depletion"

GNU General Public License v3.0GPL-3.0

Alaska Multiplex Networks

This repository provides free access (under the GNU GPL v3) to the multiplex networks used in the paper:

Multiplex social ecological network analysis reveals how social changes affect community robustness more than resource depletion

J.A. Baggio, S.B. Burnsilver, A. Arenas, J.S. Magdanz, G.P. Kofinas, and M. De Domenico

PNAS 113(48), 13708-13713 (2016)

Introduction

Social capital ties are ubiquitous in modern life. For societies with people and landscapes tightly connected, in variable or marginal ecosystems, and with unreliable market sectors, social relations are critical. Each relation is a potential source of food, information, cash, labor, or expertise. In the aforementioned paper, we present an analysis of multiplex, directed, and weighted networks representing actual flows of subsistence-related goods and services among households in three remote indigenous Alaska communities exposed to both extreme climate change and industrial development. We find that the principal challenge to the robustness of such communities is the loss of key households and the erosion of cultural ties linked to sharing and cooperative social relations rather than resource depletion.

Description

Three files are provided. Each file contains one network, corresponding to a specific Alaska community, namely

  • Kaktovi (37 layers, 164 nodes)
  • Venetie (43 layers, 206 nodes)
  • Wainwright (36 layers, 218 nodes)

in extended edgelist format:

nodeFrom layerFrom nodeTo layerTo weight

For further details about the calculation of weights, we refer to the aforementioned paper.

Acknowledgments

The authors thank Wainwright, Kaktovik, and Venetie collaborators and households for their time and expertise.

Credits

Please cite the accompanying paper, if you use this data set in your study.