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Repository
- All Network Datasets
- Network Data Collections
- Animal Social Networks 816
- Biological Networks 37
- Brain Networks 116
- Collaboration Networks 20
- Cheminformatics 646
- Citation Networks 4
- Ecology Networks 6
- Economic Networks 16
- Email Networks 6
- Graph 500 8
- Heterogeneous Networks 15
- Interaction Networks 29
- Infrastructure Networks 8
- Labeled Networks 105
- Massive Network Data 21
- Miscellaneous Networks 2669
- Power Networks 8
- Proximity Networks 13
- Generated Graphs 221
- Recommendation Networks 36
- Road Networks 15
- Retweet Networks 34
- Scientific Computing 11
- Social Networks 77
- Facebook Networks 114
- Technological Networks 12
- Web Graphs 36
- Dynamic Networks 115
- Temporal Reachability Networks 38
- BHOSLIB 36
- DIMACS 78
- DIMACS10 84
- Non-relational ML data 211
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Analytics
- Interactive Analytics Platform
- Interactive Graph Vis new
- Compare Networks Interactively
- Compare Networks via Graphlets
- DataVis
- Interactive Stats & Analysis
- Search Graphs
- Recent visualizations
- Interactive Visual Graph Mining
- GraphVis - Understand and explore graphs easily.
- Interactive Graph Clustering
- Graph Role Discovery Alpha
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About
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NETWORK REPOSITORY
A SCIENTIFIC NETWORK DATA REPOSITORY WITH
INTERACTIVE VISUALIZATION and MINING TOOLS
The first interactive network data repository with visual analytic tools
The largest network data repository with thousands of network data sets
Interactive network visualization and mining
Download thousands of real-world network datasets: from biological to social networks
NETWORK DATA SETS
INTERACTIVE VISUALIZATION
DOWNLOAD NETWORK DATA SETS
Explore network data sets and visualize their structure
Interactive statistics and plots
Download massive network data of billions of edges
Data License and Policy
Data Policy and License
All data are licensed under a Creative Commons Attribution-ShareAlike License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
Under the following terms:
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Attribution — You must attribute any public use of the data (and/or database), or works produced from the data, in the manner specified in the license. For any use or redistribution of the data from network repository, or works produced from the data (or datasets), you must make clear to others the license of the database and keep intact any notices on the original database. Works published using data under this license must be appropriately cited following professional and ethical standards for academic citation. Many of the datasets have additional citation requests that can be found on each specific dataset page (e.g., see the
Acknowledgements & Citation Policyfound on each dataset page). As such, you must honor these requests. This policy supports the notions of reproducible research by allowing others to download the exact data used in experiments and thus reproduce them with ease. You must also attribute network repository using the citation/acknowledgement policy given below. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.Attribute this work:
What does "Attribute this work" mean?
The page you came from contained embedded licensing metadata including citiation/reference requests found on each specific dataset page. Doing so will also include metadata on your page so that others can find the original work as well. We also ask that you share your version of the data by uploading the transformed data so that others may benefit from the use of such data as well as supporting reproducible research.
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ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original, including the attribution terms specified above and those found on the page(s) of the particular dataset(s) being used.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
- You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
- No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Citing
Please acknowledge the repository in published materials
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={https://networkrepository.com},
year={2015}
}