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kidnappings — Abu Sayyaf kidnappings (2014)

Description

A bipartite network of members of the Abu Sayyaf Group (ASG), a violent non-state armed group operating in the southern Philippines since 1991, and the kidnapping events in which they took part. The data were reconstructed by L. Gerdes, K. Ringler and B. Autin from open sources, in a study of the group's strategic and learning capacities, and distributed in the UCINET collection of covert networks. There are 246 persons and 105 kidnapping events, and an edge connects a person to an event in which they participated.

The network has the following properties:

  • (Node) name: anonymized label of the node (N1, N2, ... for persons, E1, E2, ... for events).
  • (Node) is_event: whether the node is a kidnapping event (True) or a group member (False).
Tags
Social Offline Unweighted
Added
2020-08-11
Citation
  • L. Gerdes, K. Ringler, and B. Autin, "Assessing the Abu Sayyaf Group's Strategic and Learning Capacities." Studies in Conflict & Terrorism 37(3), 267-293 (2014) 10.1080/1057610x.2014.872021 Sci-Hub
Upstream URL OK
https://web.archive.org/web/20201011193305/https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/philippinekidnappings
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
kidnappings 351 402 1.15 3.88 4.06 224.94 -0.22 0.00 18 0.81 Directed Bipartite name 6 KiB 10 KiB 9 KiB 7 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.