madrid_bombing_jjatt — Madrid train bombing network, JJATT (2004)
- Description
Time series of networks of relationships among 54 individuals, from the John Jay & ARTIS Transnational Terrorism Database (JJATT). The JJATT data treat specific attacks as endpoints, and depict the evolution of the relations among the individuals directly or indirectly associated with them; here, the bombings of commuter trains in Madrid, Spain, on 11 March 2004 (Wikipedia). The data were coded from open sources (e.g. court documents, news reports and books), and were made available in matrix form by the UCINET datasets collection (University of Manchester).
Nodes are individuals (labelled by their JJATT identifier in
name), and each time-period network contains the relationships present in that period (networks namedYYYY_1andYYYY_2refer to the first and second halves of year YYYY). The edge propertyweightgives the strength of the tie: 1 = acquaintances or distant family ties (interaction limited to radical organisation activities), 2 = friends or moderately close family ties (including co-workers and roommates), operational or organisational leadership, or operational ties (e.g. having worked closely together on a bombing), 3 = close friends or family, tight-knit operational cliques. The periods 2005_2, 2006_1, 2006_2 have no ties in the source, and are not included. Thekinshipnetwork contains kinship ties, with the edge propertykinshipcoding the type: 1 = in-laws, 2 = cousins, 3 = siblings, 4 = parent/child, 5 = married, 6 = grandparent/grandchild, 7 = significant other (cells coded 99 in the source matrix, whose meaning is not documented, are omitted). The source matrices are meant to be symmetric; in the few cases where the two directions differ, the tie with the larger value is used. The JJATT tie-start, tie-end and operation matrices, which use undocumented codes, are not included.1
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Description obtained in part from the UCINET datasets page. ↩
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- Tags
- Social Offline Weighted Temporal
- Citation
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- S. Atran, M. Sageman, et al., "John Jay & ARTIS Transnational Terrorism Database (JJATT)." John Jay College of Criminal Justice (2009) doitapps.jjay.cuny.edu
- Upstream URL OK
- https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/madrid-train-bombing-2004
- 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 1985_1989 54 4 0.15 0.36 1.00 nan nan 0.00 1 0.04 Undirected Bipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 1990_1994 54 4 0.15 0.36 1.00 nan nan 0.00 1 0.04 Undirected Bipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 1995 54 6 0.22 0.46 1.00 nan -0.20 0.00 2 0.06 Undirected Bipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 1996 54 9 0.33 0.67 1.00 0.68 0.20 0.50 2 0.07 Undirected Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 1997 54 9 0.33 0.67 1.00 0.68 0.20 0.50 2 0.07 Undirected Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 1998 54 9 0.33 0.67 1.00 0.68 0.20 0.50 2 0.07 Undirected Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 1999 54 14 0.52 0.90 1.52 1.34 0.35 0.40 3 0.11 Undirected Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 2000_1 54 16 0.59 0.95 1.52 1.34 0.15 0.33 3 0.11 Undirected Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 2000_2 54 17 0.63 1.06 2.00 1.02 0.13 0.50 2 0.11 Undirected Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 2001_1 54 19 0.70 1.15 1.74 6.48 0.07 0.30 5 0.20 Undirected Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 2001_2 54 23 0.85 1.30 1.89 4.44 0.04 0.14 5 0.24 Undirected Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 2002_1 54 23 0.85 1.31 1.44 6.43 -0.28 0.14 4 0.24 Undirected Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 2002_2 54 51 1.89 2.44 4.51 15.61 -0.03 0.39 8 0.37 Undirected Unipartite name weight 1 KiB 2 KiB 1 KiB 1 KiB 2003_1 54 55 2.04 2.29 3.74 22.93 -0.07 0.38 8 0.56 Undirected Unipartite name weight 1 KiB 2 KiB 1 KiB 1 KiB 2003_2 54 120 4.44 4.53 8.34 5.05 0.10 0.47 5 0.70 Undirected Unipartite name weight 1 KiB 2 KiB 1 KiB 2 KiB 2004_1 54 183 6.78 5.91 10.69 4.00 -0.08 0.45 4 0.83 Undirected Unipartite name weight 1 KiB 2 KiB 2 KiB 2 KiB 2004_2 54 8 0.30 0.60 1.00 nan 0.50 0.75 2 0.06 Undirected Unipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB 2005_1 54 3 0.11 0.37 1.00 nan -0.50 0.00 2 0.06 Undirected Bipartite name weight 1 KiB 1 KiB 1 KiB 1 KiB kinship 54 8 0.30 0.60 1.00 nan 0.50 0.75 2 0.06 Undirected Unipartite name kinship 1 KiB 1 KiB 1 KiB 1 KiB