islamic_state_bbc — Islamic State members (2014)
- Description
Networks of relationships among 56 members of the Islamic State, reconstructed at the University of Manchester from the information published by the BBC in 2014 about the investigation of the group by a team of experts ("UK paying experts to build Islamic State war crimes case"). Nodes are individuals (vertex property
name), and there are three types of relationship:links: links between members (relationship type not specified).companions: companions and friends (former companion, close friends, close coordination, most important companion, close relationship).kinship: kin (brothers, brothers working together, married to sister, son).
Data distributed by the UCINET datasets collection (University of Manchester).1
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Description obtained in part from the UCINET datasets page. ↩
- Tags
- Social Offline Unweighted
- Citation
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- BBC News, "UK paying experts to build Islamic State war crimes case." (2014) www.bbc.com
- Upstream URL OK
- https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/islamic-state-group
- 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 links 56 15 0.54 1.21 1.52 2.37 -0.39 0.26 3 0.18 Undirected Unipartite name 1 KiB 1 KiB 1 KiB 1 KiB companions 56 12 0.43 0.65 1.00 inf -0.35 0.00 2 0.07 Undirected Bipartite name 1 KiB 1 KiB 1 KiB 1 KiB kinship 56 6 0.21 0.45 1.00 nan -0.20 0.00 2 0.05 Undirected Bipartite name 1 KiB 1 KiB 1 KiB 1 KiB