noordin_top — Noordin Top terrorist network (2006)
- Description
Networks of ten types of relationships among the 79 individuals of the terrorist network of Noordin Mohammad Top in Indonesia, listed in Appendix C of the International Crisis Group report "Terrorism in Indonesia: Noordin's Networks" (2006), from which the data were mostly drawn. The data were coded by students of the Naval Postgraduate School course "Tracking and Disrupting Dark Networks" (Sean Everton and Nancy Roberts) and cleaned by the CORE Lab, and are analysed in detail in Everton's book "Disrupting Dark Networks" (2012). Nodes are individuals (vertex property
name), and the networks are:classmates(attended school together),friendship,kinship,soulmates(close friends with a strong bond),logistics(co-location of logistical activity),meetings(co-attendance at meetings),operations(co-participation in operations),training_events(co-attendance at training events),communications, andbusiness_finance(business and financial ties). In each network, an undirected edge connects two individuals who share the corresponding relation. Data distributed by the UCINET datasets collection (University of Manchester).1
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Description obtained in part from the UCINET datasets page. ↩
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- Tags
- Social Offline Unweighted
- Citation
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- N. Roberts and S. F. Everton, "Roberts and Everton Terrorist Data: Noordin Top Terrorist Network (Subset)." Association of Religion Data Archives (2011) www.thearda.com
- S. F. Everton, "Disrupting Dark Networks." Cambridge University Press (2012) 10.1017/CBO9781139136877 Sci-Hub
- Upstream URL OK
- https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/noordin-top
- Networks
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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 classmates 79 175 4.43 6.36 12.42 4.59 -0.06 0.67 7 0.47 Undirected Unipartite name 1 KiB 2 KiB 2 KiB 2 KiB friendship 79 91 2.30 2.59 3.91 15.33 -0.08 0.20 7 0.75 Undirected Unipartite name 1 KiB 2 KiB 2 KiB 2 KiB kinship 79 16 0.41 0.68 1.00 0.68 0.42 0.67 2 0.05 Undirected Unipartite name 1 KiB 2 KiB 1 KiB 2 KiB soulmates 79 11 0.28 0.84 2.00 0.77 -0.18 0.75 2 0.06 Undirected Unipartite name 1 KiB 2 KiB 1 KiB 2 KiB logistics 79 29 0.73 1.87 4.30 3.22 -0.17 0.60 4 0.18 Undirected Unipartite name 1 KiB 2 KiB 1 KiB 2 KiB meetings 79 63 1.59 3.19 5.73 3.00 -0.29 0.41 4 0.33 Undirected Unipartite name 1 KiB 2 KiB 2 KiB 2 KiB operations 79 267 6.76 8.32 16.40 7.03 -0.07 0.78 3 0.49 Undirected Unipartite name 1 KiB 2 KiB 2 KiB 2 KiB training_events 79 147 3.72 4.82 10.04 7.50 0.26 0.72 4 0.35 Undirected Unipartite name 1 KiB 2 KiB 2 KiB 2 KiB communications 79 200 5.06 5.74 8.65 12.80 -0.18 0.27 6 0.94 Undirected Unipartite name 2 KiB 2 KiB 2 KiB 2 KiB business_finance 79 15 0.38 0.96 2.00 0.77 0.47 0.89 2 0.06 Undirected Unipartite name 1 KiB 2 KiB 1 KiB 2 KiB