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ugandan_village — Ugandan village networks (2013)

Description

Friendship and health advice networks among the households of 17 rural villages bordering Lake Victoria in Mayuge District, Uganda, collected in 2013 by G. F. Chami and collaborators in a census-based survey covering nearly all households (3,491 in total) of the villages. The ties were obtained with a name generator questionnaire, in which respondents named their close friends and the persons they trust for health advice (as reported in the cited paper); the resulting ties are between households. There is one network for each village and type of tie:

  • friendship-1 to friendship-17: friendship networks of villages 1 to 17.
  • health-advice_1 to health-advice_17: health advice networks of villages 1 to 17.

Nodes are households and edges are undirected. Some pairs of households are connected by more than one edge, and there are some self-loops.

The networks have the following properties:

  • (Node) name: the anonymized household identifier.
Tags
Social Offline Unweighted Multilayer
Added
2020-08-11
Citation
  • G. F. Chami et al., "Social network fragmentation and community health." Proc. Natl. Acad. Sci. USA 114(36), E7425–E7431 (2017) 10.1073/pnas.1700166114 Sci-Hub
Upstream URL OK
https://www.repository.cam.ac.uk/handle/1810/270256?show=full
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
friendship-1 203 600 5.91 4.37 7.10 4.08 -0.08 0.06 7 1.00 Undirected Unipartite name 8 KiB 11 KiB 11 KiB 10 KiB
friendship-2 182 775 8.52 6.98 11.04 2.74 -0.05 0.11 5 0.99 Undirected Unipartite name 8 KiB 11 KiB 10 KiB 9 KiB
friendship-3 192 1,181 12.30 9.42 15.71 2.03 -0.07 0.14 4 1.00 Undirected Unipartite name 8 KiB 12 KiB 12 KiB 10 KiB
friendship-4 320 2,302 14.39 9.98 17.23 2.23 -0.09 0.09 5 1.00 Undirected Unipartite name 15 KiB 21 KiB 21 KiB 18 KiB
friendship-5 184 822 8.93 6.58 10.63 3.00 -0.02 0.12 6 1.00 Undirected Unipartite name 8 KiB 11 KiB 11 KiB 9 KiB
friendship-6 139 709 10.20 7.18 12.04 2.58 -0.06 0.14 5 1.00 Undirected Unipartite name 7 KiB 9 KiB 8 KiB 7 KiB
friendship-7 121 929 15.36 8.14 15.16 2.56 -0.05 0.18 4 1.00 Undirected Unipartite name 6 KiB 8 KiB 8 KiB 7 KiB
friendship-8 369 1,902 10.31 7.59 12.78 2.30 -0.04 0.06 5 1.00 Undirected Unipartite name 16 KiB 22 KiB 22 KiB 19 KiB
friendship-9 178 1,248 14.02 11.59 16.86 2.57 -0.11 0.17 5 1.00 Undirected Unipartite name 8 KiB 12 KiB 11 KiB 10 KiB
friendship-10 207 1,180 11.40 7.62 14.01 2.25 -0.02 0.10 5 1.00 Undirected Unipartite name 9 KiB 13 KiB 13 KiB 11 KiB
friendship-11 250 1,183 9.46 6.85 11.10 3.26 -0.12 0.10 5 1.00 Undirected Unipartite name 11 KiB 15 KiB 15 KiB 13 KiB
friendship-12 229 962 8.40 7.96 11.90 3.68 -0.06 0.09 6 1.00 Undirected Unipartite name 10 KiB 13 KiB 13 KiB 11 KiB
friendship-13 183 873 9.54 6.56 11.67 2.27 -0.08 0.10 5 1.00 Undirected Unipartite name 8 KiB 11 KiB 11 KiB 9 KiB
friendship-14 124 603 9.73 6.39 10.99 4.01 -0.05 0.15 5 1.00 Undirected Unipartite name 6 KiB 8 KiB 7 KiB 6 KiB
friendship-15 120 295 4.92 3.60 5.85 4.70 -0.04 0.07 7 1.00 Undirected Unipartite name 5 KiB 7 KiB 6 KiB 6 KiB
friendship-16 372 1,475 7.93 6.06 9.93 7.34 -0.04 0.06 7 1.00 Undirected Unipartite name 16 KiB 21 KiB 21 KiB 18 KiB
friendship-17 65 300 9.23 6.99 10.20 2.50 -0.07 0.27 4 1.00 Undirected Unipartite name 3 KiB 4 KiB 4 KiB 3 KiB
health-advice_1 190 473 4.98 6.33 8.69 6.15 -0.19 0.06 8 0.98 Undirected Unipartite name 8 KiB 10 KiB 10 KiB 9 KiB
health-advice_2 170 432 5.08 8.12 9.71 10.56 -0.30 0.06 7 1.00 Undirected Unipartite name 7 KiB 9 KiB 9 KiB 8 KiB
health-advice_3 185 682 7.37 10.37 13.00 6.91 -0.35 0.08 6 1.00 Undirected Unipartite name 8 KiB 11 KiB 10 KiB 9 KiB
health-advice_4 316 1,118 7.08 6.77 10.45 6.56 -0.10 0.05 6 1.00 Undirected Unipartite name 13 KiB 18 KiB 17 KiB 15 KiB
health-advice_5 168 423 5.04 7.18 9.03 7.13 -0.19 0.09 8 0.99 Undirected Unipartite name 7 KiB 9 KiB 9 KiB 8 KiB
health-advice_6 134 322 4.81 9.05 9.30 6.83 -0.30 0.06 6 0.98 Undirected Unipartite name 5 KiB 7 KiB 7 KiB 6 KiB
health-advice_7 121 577 9.54 7.81 11.92 3.49 -0.07 0.14 5 1.00 Undirected Unipartite name 6 KiB 7 KiB 7 KiB 6 KiB
health-advice_8 361 1,360 7.53 7.60 11.15 4.24 -0.14 0.05 7 1.00 Undirected Unipartite name 15 KiB 20 KiB 20 KiB 17 KiB
health-advice_9 173 678 7.84 10.85 13.77 4.11 -0.23 0.10 5 1.00 Undirected Unipartite name 7 KiB 10 KiB 10 KiB 8 KiB
health-advice_10 205 884 8.62 8.61 13.81 3.60 -0.08 0.13 6 1.00 Undirected Unipartite name 9 KiB 12 KiB 12 KiB 10 KiB
health-advice_11 240 588 4.90 7.71 9.71 13.79 -0.21 0.05 8 0.97 Undirected Unipartite name 9 KiB 13 KiB 12 KiB 11 KiB
health-advice_12 221 579 5.24 7.52 8.21 10.34 -0.11 0.04 7 0.99 Undirected Unipartite name 9 KiB 12 KiB 12 KiB 10 KiB
health-advice_13 173 358 4.14 4.55 6.56 11.98 -0.11 0.06 8 0.91 Undirected Unipartite name 7 KiB 9 KiB 9 KiB 8 KiB
health-advice_14 120 365 6.08 4.88 7.42 4.09 -0.16 0.11 6 1.00 Undirected Unipartite name 5 KiB 7 KiB 6 KiB 6 KiB
health-advice_15 117 210 3.59 4.81 5.93 11.11 -0.26 0.06 8 1.00 Undirected Unipartite name 5 KiB 6 KiB 6 KiB 5 KiB
health-advice_16 350 984 5.62 12.54 12.83 5.29 -0.20 0.05 7 1.00 Undirected Unipartite name 14 KiB 18 KiB 18 KiB 16 KiB
health-advice_17 63 159 5.05 4.73 6.31 3.78 -0.27 0.12 5 1.00 Undirected Unipartite name 3 KiB 4 KiB 3 KiB 3 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.