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new_guinea_tribes — New Guinea Highlands tribes (1954)

Description

A signed network of political alliances and enmities among 16 tribes of the Gahuku–Gama alliance structure of the Eastern Central Highlands of New Guinea, from the ethnography of Read (1954). Hage and Harary (1983) used it to illustrate a clusterable signed graph: the alliance structure comprises three tribal groups, and, unlike in a balanced structure, the enemy of an enemy can be either a friend or an enemy. The data are from the UCINET IV datasets collection (file gama.dat), as distributed in Vladimir Batagelj's Pajek data repository, where the signed graph is split into two symmetric binary matrices, GAMAPOS for the alliance ("rova") relation and GAMANEG for the antagonistic ("hina") relation.

Nodes are tribes, and an undirected edge represents either an alliance or an enmity between two tribes (no pair is connected by both).

The network has the following properties:

  • Nodes: name, the abbreviated tribe name.
  • Edges: sign, $+1$ for alliance ("rova", GAMAPOS) and $-1$ for enmity ("hina", GAMANEG).
Tags
Social Offline Signed
Citation
Upstream URL OK
https://web.archive.org/web/20110610030242/http://vlado.fmf.uni-lj.si/pub/networks/data/UciNet/UciData.htm#gama
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
new_guinea_tribes 16 58 7.25 1.75 6.65 1.47 0.05 0.53 3 1.00 Undirected Unipartite weight 1 KiB 2 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.