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 Policy
found 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.
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.
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}
}
2012-2015 © Ryan RossiandNesreen Ahmed. All Rights Reserved. | Disclaimer | Data License