Terrorist Relations Network (GCN Benchmark)

A Terrorist Relations dataset of 881 nodes, 8,592 edges, 4 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. Terrorist Relations network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.

#Bag of words#Graph neural network#Node classification

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Analytics

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· graph.json

Node size is centrality, colour is community. Hover a node for details; click one to isolate its community.

881
Nodes
8.6K
Edges
2.22e-02
Density
11
Components
0.851
Assortativity
0.0%
Reciprocity
5
Bridges
Most central nodes
1680.04091
290.04091
3460.04091
4350.04091
5350.04091
5400.04091
5970.04091
6200.04091
6280.04091
6620.04091
Content metrics

881 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

labelavg 0.91 / 3
0std 1.163
feature countμ 19.89 ± 37.798
min 0max 289
is test10.1% true
true 10.1%false 89.9%
4.3
Flesch–Kincaid grade
US school grade level
4.5
Automated readability index
Frequent terms
132744743746686129133741779760742755784745131747770812759134751771782757756754783677167172811130781135670780795786672716767798977148158699706773147190
Topic clusters

Topic 0

746
743
784
812
759
754
780
762

Topic 1

686
74
744
132
15
702
709
19

Topic 2

744
132
700
730
88
95
15
73

Topic 3

134
131
135
158
190
147
170
196

Topic 4

129
133
745
741
742
648
116
43

Topic 5

628
718
620
74
631
743
630
686

Topic 6

65
102
685
670
744
60
70
97

Topic 7

712
743
132
95
47
33
84
88

Topic 8

58
73
85
670
96
91
705
677

Topic 9

616
130
117
42
743
132

Topic 10

59
89
82
708
677
744
54
696

Topic 11

53
104
73
677
671
672
744
641
Show all 17 topics

Topic 12

81
94
36
114
70
744
97
632

Topic 13

130
742
104
129

Topic 14

77
686
20
628
19
31
630
744

Topic 15

745
741
133
129
738
116
43
655

Topic 16

36
745
133
129
741
732
126
742

Computed over the full corpus.

Record

Catalog key
gcn_terrorist_rel
Authors
Zhao, Bin; Sen, Prithviraj; Getoor, Lise
Year
2006
Source paper
Entity and relationship labeling in affiliation networks
License
Academic Use (LicenseRef-Research-Only)
Records
881
Nodes
881
Edges
8,592
Nodes are
terrorist
Edges are
relation
Attributes
nodes have no attributes; edges have no attributes
Languages
en
Collected
2016 (2010s)
Tasks
Node classification (multi-class; label) inferred
From the graph: link prediction, community detection

Provenance

Originally published at
https://github.com/kimiyoung/planetoid link checked
Hosted copy
Mirrored on echo.directory on 2026-10-16, 45.6 MB across 80 files. Checksums in MANIFEST.json.

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@inproceedings{zhao2006entity,
  title     = {Entity and relationship labeling in affiliation networks},
  author    = {Zhao, Bin and Sen, Prithviraj and Getoor, Lise},
  booktitle = {ICML Workshop on Statistical Network Analysis},
  year      = {2006}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Zhao, B., Sen, P., & Getoor, L. (2006). Terrorist Relations Network (GCN Benchmark) [Data set]. https://gcn-terrorist-rel.echo.directory/

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Zhao, Bin, et al. Terrorist Relations Network (GCN Benchmark). 2006, gcn-terrorist-rel.echo.directory/.

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