Multi-level Graph Visualization: From Global to Local Graph Properties
Select a network below for amulti-level graph visualization
that leverages both local
and global graph properties
, as well as additional features and tools including:
- interactive network visualizations,
- global network statistics,
- local node-level network stats & features, and
- interactive visualizations of the important network distributions.
Note: Networks may also be sorted by the statistics.
Global Network Statistics
Summary of notation.- |V|
- Number of nodes
- |E|
- Number of edges
- dmax
- Maximum degree
- davg
- Average degree
- r
- Assort. Coeff.
- |T|
- Number of triangles (3-clique)
- |T|avg
- Average triangles formed by a edge
- |T|max
- Maximum number of triangles formed by a edge
- κavg
- Average local clustering coefficient
- κ
- Global clustering coefficient
- Kmax
- Maximum k-core number
- ωlb
- Lower bound on the size of the maximum clique
Citation and acknowledgement policy
Please cite the following if you use the data:
@inproceedings{nr,
title = {The Network Data Repository with Interactive Graph Analytics and Visualization},
author={Ryan A. Rossi and Nesreen K. Ahmed},
booktitle = {AAAI},
url={http://networkrepository.com},
year={2015}
}
Graph Name | |V|    | |E|    | dmax    | davg    | r    | |T|    | Tavg    | Tmax    | κavg    | κ    | K    | ωheu    | Size | Download |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AIDS | 31K | 65K | 12 | 4 | -0.40 | 1K | - | 8 | 0.00 | 0.00 | 7 | 3 | 488 KB | Download |
BA-1-10-60-L5 | 804 | 46K | 679 | 115 | -0.65 | 4M | 5K | 38K | 0.81 | 0.25 | 61 | 61 | 110 KB | Download |
BA-2-24-60-L2 | 11K | 640K | 7K | 119 | -0.60 | 44M | 4K | 369K | 0.71 | 0.03 | 61 | 61 | 2 MB | Download |
BZR-MD | 7K | 138K | 64 | 42 | 1 | 6M | 882 | 2K | 0.97 | 0.98 | 65 | 33 | 933 KB | Download |
BZR | 14K | 31K | 8 | 4 | -0.43 | 36 | - | 4 | 0.00 | 0.00 | 5 | 3 | 265 KB | Download |
CL-100K-1d8-L9 | 92K | 437K | 231 | 9 | -0.00 | 66K | - | 106 | 0.00 | 0.00 | 23 | 4 | 2 MB | Download |
CL-10K-1d8-L5 | 9K | 45K | 232 | 9 | -0.01 | 66K | 7 | 714 | 0.03 | 0.03 | 23 | 6 | 179 KB | Download |
CL-10M-1d8-L5 | 9M | 44M | 250 | 9 | -0.00 | 70K | - | 5 | 0.00 | 0.00 | 23 | 3 | 256 MB | Download |
COIL-DEL | 84K | 423K | 28 | 10 | 0.03 | 2M | 19 | 68 | 0.44 | 0.39 | 9 | 4 | 1 MB | Download |
COIL-RAG | 12K | 24K | 10 | 4 | 0.71 | 55K | 4 | 32 | 0.48 | 0.64 | 9 | 5 | 1 MB | Download |
COLLAB | 372K | 49M | 2K | 263 | 0.91 | 30B | 80K | 634K | 0.85 | 0.95 | 953 | 239 | 67 MB | Download |
COX2-MD | 8K | 203K | 70 | 51 | 1 | 10M | 1K | 2K | 0.98 | 0.98 | 71 | 36 | 1 MB | Download |
COX2 | 19K | 41K | 8 | 4 | -0.48 | 360 | - | 4 | 0.00 | 0.00 | 5 | 4 | 349 KB | Download |
DBLP-v1 | 204K | 765K | 70 | 7 | -0.21 | 5M | 26 | 420 | 0.49 | 0.64 | 31 | 14 | 2 MB | Download |
DD | 335K | 2M | 38 | 10 | 0.39 | 7M | 21 | 160 | 0.41 | 0.41 | 15 | 4 | 5 MB | Download |
DD199 | 841 | 2K | 10 | 4 | 0.33 | 4K | 4 | 18 | 0.47 | 0.47 | 5 | 5 | 8 KB | Download |
DD21 | 6K | 14K | 11 | 4 | 0.25 | 28K | 4 | 20 | 0.46 | 0.44 | 5 | 5 | 59 KB | Download |
DD242 | 1K | 3K | 12 | 5 | 0.17 | 7K | 5 | 19 | 0.48 | 0.45 | 5 | 5 | 13 KB | Download |
DD244 | 291 | 822 | 10 | 5 | 0.23 | 2K | 7 | 18 | 0.52 | 0.49 | 5 | 5 | 3 KB | Download |
DD349 | 897 | 2K | 10 | 4 | 0.33 | 4K | 4 | 16 | 0.47 | 0.47 | 5 | 5 | 9 KB | Download |
DD497 | 903 | 2K | 11 | 5 | 0.32 | 6K | 6 | 21 | 0.50 | 0.47 | 5 | 5 | 9 KB | Download |
DD6 | 4K | 10K | 11 | 4 | 0.26 | 20K | 4 | 20 | 0.46 | 0.45 | 5 | 5 | 42 KB | Download |
DD68 | 775 | 2K | 13 | 5 | 0.43 | 4K | 5 | 21 | 0.44 | 0.41 | 6 | 5 | 8 KB | Download |
DD687 | 725 | 3K | 15 | 7 | 0.36 | 8K | 10 | 29 | 0.47 | 0.43 | 6 | 6 | 9 KB | Download |
DHFR-MD | 9K | 222K | 76 | 47 | 1 | 10M | 1K | 3K | 0.98 | 0.98 | 77 | 39 | 1 MB | Download |
DHFR | 32K | 67K | 8 | 4 | -0.52 | - | - | - | - | - | 5 | 4 | 578 KB | Download |
ENZYMES | 19K | 75K | 18 | 7 | 0.18 | 184K | 9 | 52 | 0.34 | 0.34 | 9 | 4 | 491 KB | Download |
ENZYMES118 | 95 | 121 | 5 | 2 | 0.10 | - | - | - | - | - | 3 | 3 | 2 KB | Download |
ENZYMES123 | 90 | 127 | 9 | 2 | 0.16 | 33 | - | 2 | 0.11 | 0.10 | 3 | 3 | 2 KB | Download |
ENZYMES295 | 123 | 139 | 5 | 2 | 0.21 | 6 | - | 2 | 0.01 | 0.03 | 3 | 3 | 2 KB | Download |
ENZYMES296 | 125 | 141 | 5 | 2 | 0.29 | 6 | - | 2 | 0.01 | 0.03 | 3 | 3 | 2 KB | Download |
ENZYMES297 | 121 | 149 | 7 | 2 | 0.16 | 27 | - | 3 | 0.05 | 0.10 | 3 | 3 | 2 KB | Download |
ENZYMES8 | 88 | 133 | 8 | 3 | 0.07 | 9 | - | 2 | 0.02 | 0.03 | 4 | 3 | 2 KB | Download |
ER-AvgDeg10-100K-L2 | 100K | 499K | 29 | 9 | -0.00 | 471 | - | 2 | 0.00 | 0.00 | 8 | 3 | 2 MB | Download |
ER-AvgDeg10-100K-L5 | 100K | 499K | 29 | 9 | -0.00 | 471 | - | 2 | 0.00 | 0.00 | 8 | 3 | 2 MB | Download |
ER-AvgDeg10-1M-L2 | 1000K | 5M | 27 | 10 | 0.00 | 513 | - | 2 | 0.00 | 0.00 | 8 | 3 | 26 MB | Download |
ER-AvgDeg10-1M-L5 | 1000K | 5M | 27 | 10 | 0.00 | 513 | - | 2 | 0.00 | 0.00 | 8 | 3 | 26 MB | Download |
ER-MD | 10K | 209K | 84 | 44 | 1 | 9M | 997 | 3K | 0.97 | 0.98 | 85 | 43 | 1 MB | Download |
FIRSTMM-DB | 56K | 252K | 20 | 8 | 0.22 | 447K | 7 | 64 | 0.20 | 0.22 | 9 | 5 | 3 MB | Download |
FRANKENSTEIN | 73K | 155K | 8 | 4 | -0.28 | 4K | - | 4 | 0.01 | 0.01 | 5 | 4 | 13 MB | Download |
Fingerprint | 15K | 25K | 6 | 3 | 0.03 | 120 | - | 8 | 0.00 | 0.00 | 5 | 3 | 203 KB | Download |
IMDB-BINARY | 20K | 386K | 540 | 39 | 0.49 | 19M | 951 | 18K | 0.83 | 0.80 | 117 | 18 | 553 KB | Download |
IMDB-MULTI | 20K | 396K | 352 | 40 | 0.78 | 22M | 1K | 22K | 0.85 | 0.86 | 149 | 14 | 558 KB | Download |
IMDB | 896K | 4M | 2K | 8 | -0.05 | 13K | - | 78 | 0.00 | 0.00 | 24 | 3 | 17 MB | Download |
KKI | 2K | 8K | 40 | 7 | 0.56 | 35K | 15 | 424 | 0.32 | 0.44 | 21 | 10 | 24 KB | Download |
Letter-high | 10K | 20K | 10 | 3 | -0.06 | 19K | 1 | 16 | 0.19 | 0.27 | 7 | 4 | 222 KB | Download |
Letter-low | 10K | 14K | 8 | 2 | -0.25 | - | - | - | - | - | 3 | 2 | 210 KB | Download |
Letter-med | 10K | 14K | 8 | 2 | -0.21 | 696 | - | 8 | 0.01 | 0.02 | 5 | 3 | 212 KB | Download |
MSRC-21 | 44K | 223K | 46 | 10 | -0.01 | 868K | 19 | 156 | 0.43 | 0.36 | 11 | 4 | 594 KB | Download |
MSRC-21C | 8K | 40K | 32 | 9 | -0.02 | 154K | 18 | 88 | 0.45 | 0.37 | 9 | 4 | 91 KB | Download |
MSRC-9 | 9K | 43K | 32 | 9 | -0.02 | 165K | 18 | 96 | 0.45 | 0.37 | 9 | 4 | 95 KB | Download |
Mutag | 98K | 203K | 20 | 4 | -0.42 | 3K | - | 12 | 0.00 | 0.00 | 5 | 6 | 928 KB | Download |
Mutagenicity | 129K | 267K | 8 | 4 | -0.42 | 4K | - | 4 | 0.00 | 0.00 | 5 | 4 | 871 KB | Download |
NCI1 | 122K | 266K | 8 | 4 | -0.24 | 2K | - | 4 | 0.00 | 0.00 | 7 | 3 | 917 KB | Download |
NCI109 | 122K | 265K | 10 | 4 | -0.24 | 2K | - | 4 | 0.00 | 0.00 | 7 | 3 | 780 KB | Download |
OHSU | 6K | 32K | 74 | 9 | 0.64 | 237K | 36 | 1K | 0.33 | 0.45 | 27 | 11 | 77 KB | Download |
PLC-40-30-L5 | 11K | 438K | 2K | 79 | -0.10 | 3M | 258 | 35K | 0.06 | 0.03 | 41 | 15 | 1 MB | Download |
PLC-60-30-L2 | 118K | 7M | 10K | 119 | -0.06 | 24M | 201 | 164K | 0.02 | 0.01 | 61 | 20 | 25 MB | Download |
PROTEINS-full | 43K | 162K | 50 | 7 | 0.15 | 366K | 8 | 136 | 0.32 | 0.32 | 9 | 4 | 1 MB | Download |
PTC-FM | 5K | 10K | 8 | 4 | -0.30 | 168 | - | 4 | 0.00 | 0.00 | 5 | 3 | 33 KB | Download |
PTC-FR | 5K | 11K | 8 | 4 | -0.29 | 180 | - | 4 | 0.00 | 0.00 | 5 | 3 | 34 KB | Download |
PTC-MM | 5K | 10K | 8 | 4 | -0.30 | 180 | - | 4 | 0.00 | 0.01 | 5 | 3 | 32 KB | Download |
PTC-MR | 5K | 10K | 8 | 4 | -0.30 | 180 | - | 4 | 0.00 | 0.00 | 5 | 3 | 33 KB | Download |
Peking-1 | 3K | 13K | 42 | 7 | 0.58 | 68K | 20 | 448 | 0.31 | 0.44 | 25 | 8 | 36 KB | Download |
REDDIT-BINARY | 859K | 4M | 12K | 9 | -0.14 | 2M | 2 | 13K | 0.02 | 0.00 | 25 | 5 | 9 MB | Download |
REDDIT-MULTI-12K | 5M | 22M | 12K | 9 | -0.09 | 10M | 2 | 14K | 0.02 | 0.00 | 33 | 5 | 52 MB | Download |
REDDIT-MULTI-5K | 3M | 12M | 8K | 9 | -0.12 | 5M | 2 | 14K | 0.02 | 0.00 | 33 | 4 | 29 MB | Download |
SW-10000-6-0d3-L2 | 10K | 30K | 12 | 6 | -0.04 | 31K | 3 | 9 | 0.21 | 0.20 | 5 | 4 | 113 KB | Download |
SW-10000-6-0d3-L5 | 10K | 30K | 12 | 6 | -0.04 | 31K | 3 | 9 | 0.21 | 0.20 | 5 | 4 | 114 KB | Download |
SYNTHETIC | 30K | 118K | 16 | 7 | -0.01 | 14K | - | 4 | 0.02 | 0.01 | 7 | 4 | 420 KB | Download |
SYNTHETICnew | 30K | 118K | 18 | 7 | -0.01 | 18K | - | 16 | 0.02 | 0.02 | 7 | 3 | 477 KB | Download |
Synthie | 37K | 162K | 48 | 8 | -0.17 | 126K | 3 | 68 | 0.08 | 0.06 | 11 | 4 | 3 MB | Download |
TWITTER-Real-Graph-Partial | 581K | 1M | 24 | 4 | 0.46 | 5M | 8 | 184 | 0.39 | 0.61 | 19 | 8 | 7 MB | Download |
TerroristRel | 881 | 9K | 36 | 19 | 0.85 | 106K | 120 | 330 | 0.57 | 0.53 | 31 | 22 | 25 KB | Download |
Tox21-AHR | 146K | 302K | 12 | 4 | -0.34 | 3K | - | 4 | 0.00 | 0.00 | 5 | 3 | 939 KB | Download |
Tox21-AR-LBD | 151K | 312K | 12 | 4 | -0.34 | 3K | - | 4 | 0.00 | 0.00 | 5 | 4 | 971 KB | Download |
Tox21-AR | 170K | 353K | 12 | 4 | -0.34 | 3K | - | 4 | 0.00 | 0.00 | 5 | 4 | 1 MB | Download |
Tox21-ARE | 116K | 237K | 12 | 4 | -0.35 | 2K | - | 4 | 0.00 | 0.00 | 5 | 4 | 738 KB | Download |
Tox21-ATAD5 | 161K | 333K | 12 | 4 | -0.34 | 3K | - | 4 | 0.00 | 0.00 | 5 | 4 | 1002 KB | Download |
Tox21-ER-LBD | 156K | 323K | 12 | 4 | -0.34 | 3K | - | 4 | 0.00 | 0.00 | 5 | 4 | 1006 KB | Download |
Tox21-ER | 134K | 276K | 12 | 4 | -0.34 | 2K | - | 4 | 0.00 | 0.00 | 5 | 4 | 860 KB | Download |
Tox21-HSE | 135K | 278K | 12 | 4 | -0.34 | 2K | - | 4 | 0.00 | 0.00 | 5 | 3 | 864 KB | Download |
Tox21-MMP | 127K | 261K | 12 | 4 | -0.35 | 2K | - | 4 | 0.00 | 0.00 | 5 | 4 | 813 KB | Download |
Tox21-PPAR-gamma | 140K | 287K | 12 | 4 | -0.35 | 2K | - | 4 | 0.00 | 0.00 | 5 | 4 | 895 KB | Download |
Tox21-aromatase | 125K | 257K | 12 | 4 | -0.35 | 2K | - | 4 | 0.00 | 0.00 | 5 | 4 | 801 KB | Download |
Tox21-p53 | 152K | 314K | 12 | 4 | -0.34 | 3K | - | 4 | 0.00 | 0.00 | 5 | 3 | 976 KB | Download |
Tox21-p53 | 152K | 314K | 12 | 4 | -0.34 | 3K | - | 4 | 0.00 | 0.00 | 5 | 3 | 956 KB | Download |
citeseer | 384K | 2M | 2K | 9 | -0.06 | 4M | 10 | 5K | 0.18 | 0.05 | 16 | 9 | 25 KB | Download |
cora | 3K | 5K | 169 | 4 | -0.07 | 5K | 2 | 170 | 0.25 | 0.10 | 6 | 5 | 26 KB | Download |
escorts | 10K | 51K | 616 | 10 | -0.06 | 23K | 2 | 3K | 0.01 | 0.01 | 42 | 4 | 272 KB | Download |
fb-CMU-Carnegie49 | 7K | 250K | 840 | 75 | 0.12 | 7M | 1K | 24K | 0.28 | 0.19 | 70 | 24 | 706 KB | Download |
gene | 1K | 2K | 29 | 3 | 0.21 | 3K | 2 | 84 | 0.21 | 0.32 | 13 | 13 | 9 KB | Download |
hospital-detailed-list-of-contacts | 10K | 32K | 4K | 6 | -0.53 | - | - | - | - | - | 13 | 2 | 101 KB | Download |
internet-industry-partnerships | 219 | 631 | 61 | 5 | -0.22 | 984 | 4 | 79 | 0.18 | 0.11 | 7 | 5 | 3 KB | Download |
ip-trace | 155 | 681K | 681K | 9K | 1.00 | - | - | - | - | - | 75K | 2 | 734 KB | Download |
proteins-all | 43K | 162K | 50 | 7 | 0.15 | 366K | 8 | 136 | 0.32 | 0.32 | 9 | 5 | 507 KB | Download |
proteins | 43K | 162K | 50 | 7 | 0.15 | 366K | 8 | 136 | 0.32 | 0.32 | 9 | 5 | 538 KB | Download |
reality-call | 7K | 51K | 3K | 15 | -0.32 | 924K | 135 | 97K | 0.36 | 0.03 | 967 | 116 | 440 KB | Download |
soc-BlogCatalog-ASU | 10K | 334K | 4K | 64 | -0.25 | 17M | 2K | 212K | 0.46 | 0.09 | 115 | 30 | 933 KB | Download |
soc-Flickr-ASU | 81K | 6M | 6K | 146 | 0.07 | 815M | 10K | 1M | 0.17 | 0.19 | 551 | 65 | 17 MB | Download |
soc-YouTube-ASU | 1M | 3M | 29K | 5 | -0.04 | 9M | 8 | 181K | 0.08 | 0.01 | 52 | 13 | 10 MB | Download |
soc-political-retweet | 18K | 61K | 1K | 6 | -0.06 | 377K | 20 | 15K | 0.06 | 0.06 | 80 | 26 | 583 KB | Download |
web-spam-detection | 9K | 506K | 4K | 111 | -0.17 | 42M | 5K | 339K | 0.43 | 0.16 | 174 | 43 | 1 MB | Download |
webkb-wisc | 262 | 510 | 122 | 3 | -0.18 | 463 | 1 | 76 | 0.18 | 0.05 | 5 | 4 | 3 KB | Download |
Acknowledgement & Citation Policy
Please cite the following if you use the data:
@inproceedings{nr,
title={The Network Data Repository with Interactive Graph Analytics and Visualization},
author={Ryan A. Rossi and Nesreen K. Ahmed},
booktitle={AAAI},
url={http://networkrepository.com},
year={2015}
}
Discuss and Share
Collaborate and contribute to the first interactive and community-oriented data repository!
Share key insights, awesome visualizations, or simply discuss advantages of data, any observed or known properties, challenges, problems, corrections, and any other helpful comments! Post and discuss recent published works that utilize this dataset (including your own). Any and all feedback is welcome and encouraged.