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. 2017 Jan 30;7:41673. doi: 10.1038/srep41673

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Copyright © 2017, The Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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Bipartite representation of the user-hashtag interaction network at the beginning of the observation period (a). An undirected link is shown whenever a user (represented here by an integer number) authors a tweet containing the corresponding hashtag. The size of hashtags and users is proportional to their frequency/activity. Panel (b) sketches the sliding-window scheme, which produces the matrices M_t that contain the interactions between users and hashtags starting at time t₀ and lasting till time t, with w = t – t₀.