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political_actors — Political actor network (1989)

Description

Strong political alliances among 14 prominent political actors in a Midwestern city in the USA, from P. Doreian and L. H. Albert. The County Executive (A) and the County Auditor (B) were strong political rivals, each with their own supporters. The substantive issue was the construction of a federally mandated new jail: actor A supported the construction while B opposed it, and the County Council (actors D through J) was split over this issue. Two actors are connected if they are strong political allies. The data were distributed on the Pajek datasets page of the book Generalized Blockmodeling (Doreian, Batagelj and Ferligoj), from which this version was obtained.

The network has the following properties:

  • Nodes: name, the letter code of the actor (A to N), as used in the publications; position, the position of the actor (e.g. "County Executive", "Council Member 1", "City Mayor").
Tags
Social Political Unweighted Metadata
Citation
  • P. Doreian, L. H. Albert, "Partitioning political actor networks: Some quantitative tools for analyzing qualitative networks." Journal of Quantitative Anthropology 1, 279-291 (1989) web.archive.org
  • P. Doreian, V. Batagelj, A. Ferligoj, "Generalized Blockmodeling." Cambridge University Press (2004) 10.1017/CBO9780511584176 Sci-Hub
Upstream URL OK
https://web.archive.org/web/20070314222836/http://vlado.fmf.uni-lj.si/pub/networks/data/GBM/PolActor.htm
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
political_actors 14 28 4.00 1.46 3.39 6.23 -0.28 0.52 4 1.00 Undirected Unipartite name position 1 KiB 1 KiB 1 KiB 1 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.