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. 2014 Jul 7;9(7):e100915. doi: 10.1371/journal.pone.0100915

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© 2014 Sekara, Lehmann

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 properly credited.

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A: Probability of link reappearance. For each selection process we remove a specific set of links. In the thresholded network, we remove links with weak signal strength. For the null network, we remove links at random. Lastly, in the control network case we remove strong links. The probability for links to reappear within all the next time-steps is calculated using Eq. 1 and averaging over all time-bins. Boundary conditions are not applied and the reappearance probability for the last bins is not taken into account. B: Quality measure for proximity data. C: Quality measure for the online data. For each time-bin we calculate as defined in Eq. 2 and 3. Brackets indicate a temporal average across all time-bins and value are shown for all three network types.

Inline graphic — A: Probability of link reappearance. For each selection process we remove a specific set of links. In the thresholded network, we remove links with weak signal strength. For the null network, we remove links at random. Lastly, in the control network case we remove strong links. The probability for links to reappear within all the next time-steps is calculated using Eq. 1 and averaging over all time-bins. Boundary conditions are not applied and the reappearance probability for the last bins is not taken into account. B: Quality measure for proximity data. C: Quality measure for the online data. For each time-bin we calculate as defined in Eq. 2 and 3. Brackets indicate a temporal average across all time-bins and value are shown for all three network types.