Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Author Correction: A detailed characterization of complex networks using Information Theory

The Original Article was published on 13 November 2019

Correction to Scientific Reports https://doi.org/10.1038/s41598-019-53167-5, published online 13 November 2019


This Article contains errors.


After publication of the Article it was brought to Authors' attention that since the quantifier they were proposing for networks consider the node indices to build the random-walk-based distribution, if these indices are permuted without altering the network structure, the results for Network Fisher may change. This is a limitation of the original study, which should be acknowledged.


In order to overcome this limitation, we recommend using a matrix reordering algorithm, e.g., Optimal Leaf Ordering, that enhances the presence of block-patterns in the matrix, allowing the quantifier to characterize the network structure based on the adjacency matrix representation. For more information, readers can refer to1.


These limitations do not affect the overall conclusions of the Article.

Reference

  1. Freitas, C. G. S., Aquino, A. L. L., Ramos, H. S., Frery, A. C. & Rosso, O. A. Corrections on Scientific Report: "A detailed characterization of complex networks using Information Theory". zenodo. https://zenodo.org/record/4416088 (2020).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cristopher G. S. Freitas.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Freitas, C.G.S., Aquino, A.L.L., Ramos, H.S. et al. Author Correction: A detailed characterization of complex networks using Information Theory. Sci Rep 11, 1685 (2021). https://doi.org/10.1038/s41598-021-81323-3

Download citation

  • Published:

  • DOI: https://doi.org/10.1038/s41598-021-81323-3

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing