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. 2017 Dec 1;7:16743. doi: 10.1038/s41598-017-17135-1

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© The Author(s) 2017

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Time evolution of the active users in iWiW. (a) The cumulative fraction of active users (all users having a last login date after the indicated time) in iWiW (crosses) and in the cascade model (green). For comparison we show also results with zero characteristic leaving time (blue), and with zero threshold, i.e. no social effect (red). Parameters: N = 10000, 〈k〉 = 10. (b) The cumulative fraction of active users in iWiW and in the model using a county as the underlying network of the model. (c) Model fits using random network with average degree 〈k〉 = 10, 200.