Scientific progress depends on standard datasets for which claims, hypotheses, and algorithms can be compared and evaluated.
Despite the importance of having standard datasets, it is often impossible to find the original data used in published experiments, and at best it is difficult and time consuming.
This site is an effort to improve and facilitate the scientific study of networks by making it easier for people to interactively visualize, analyze, and ultimately download a large collection of networks in real-time to use for their own ideas.
Network repository currently has a comprehensive and representative set of the most popular and frequently used datasets in academia and industry.
If you publish material based on data obtained from this repository, then, in your acknowledgements, please note the assistance you received by using this repository.
Please use the following BiBTeX reference:
@misc{networkrepository2013,
title={Network Repository},
author={Ryan A. Rossi and Nesreen K. Ahmed},
url={http://networkrepository.com},
year={2013}
}
Many of the datasets have additional citation requests; these can be found on each dataset page. See the data license and policy for more information.
@inproceedings{nr-aaai15,
title = {The Network Data Repository with Interactive Graph Analytics and Visualization},
author={Ryan A. Rossi and Nesreen K. Ahmed},
booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
url={http://networkrepository.com},
year={2015}
}
We provide various collections of graph data sets from a wide range of types. We have hundreds of graph data sets all stored and converted into a common consistent format for easy exploration and use in other projects. We also provide network visualization and analytics and allow for users to upload and share graph data easily. Read more
2012-2015 © Ryan RossiandNesreen Ahmed. All Rights Reserved. | Disclaimer | Data License