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Correction

Correction: Time-Ordered Networks Reveal Limitations to Information Flow in Ant Colonies

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Figure 2 is incorrect. The authors have provided a corrected version here.

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Figure 2. Theoretical and empirical bounds to information flow in ant colonies.

We used a diffusion model to predict a theoretical bound to the number of individuals reached over time by a message from a focal individual. The model assumes that individuals interact like in a kinetic gas. We also used empirical time-ordered networks to determine an empirical upper bound to rates of information flow, assuming perfect communication. On rescaled axes determined from Eq. 1, empirical data are predicted to reach theoretical values, falling on the universal 1:1 line. We found that colony-level information flow is significantly slower than predicted by individual mobility in the diffusion model.

https://doi.org/10.1371/journal.pone.0020298.g001

Reference

  1. 1. Blonder B, Dornhaus A (2011) Time-Ordered Networks Reveal Limitations to Information Flow in Ant Colonies. PLoS ONE 6(5): e20298

Citation: The PLOS ONE Staff (2014) Correction: Time-Ordered Networks Reveal Limitations to Information Flow in Ant Colonies. PLoS ONE 9(6): e101031. https://doi.org/10.1371/journal.pone.0101031

Published: June 20, 2014

Copyright: © 2014 The PLOS ONE Staff. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.