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Correction to: Detecting social media users based on pedestrian networks and neighborhood attributes: an observational study

Applied Network Science volume 4, Article number: 113 (2019) Cite this article

The Original Article was published on 29 October 2019

Correction to: Appl Netw Sci (2019) 4:96

https://doi.org/10.1007/s41109-019-0222-4

Following publication of the original article (Masias et al. 2019), the author reported that Fig. 5 numbered correction was not implemented during the production process. The corrected figure can be found below.

Fig. 5
figure 1

Plot of spatial captures. Subfigure 5(a) corresponds to the capture history that includes users of social networks in general and users who support the march (total number of individuals = 2051, number of traps =100, number of occasions = 24). Additionally, Subfigure 5(b) and 5(c) shows, only for visualization purposes, the capture history of subfigure 5(a) according to the Type of User individual covariate. Subfigure 5(b) describes the capture history of Generic social media users (n = 1991); and finally, subfigure 5(c) describes the capture history of social media users Supporting the march (n =796)

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[Typesetter: please insert Fig. 5 from https://doi.org/10.1007/s41109-019-0222-4 and include the author changes that were not implemented during correction process. Please ensure that the figure is updated to reflect 5(a), 5(b) and 5(c)]

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Authors and Affiliations

  1. University of Duisburg-Essen, Department of Computer Science and Applied Cognitive Science, Duisburg, Germany

    Victor H. Masias, Tobias Hecking & H. Ulrich Hoppe

  2. DAiTA Lab, Universidad Mayor, Facultad de Estudios Interdisciplinarios, Badajoz 130, Of 1403, Las Condes, Chile

    Fernando Crespo

Authors
  1. Victor H. Masias
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  2. Tobias Hecking
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  3. Fernando Crespo
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  4. H. Ulrich Hoppe
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Correspondence to Victor H. Masias.

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The original article can be found online at https://doi.org/10.1007/s41109-019-0222-4

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Masias, V.H., Hecking, T., Crespo, F. et al. Correction to: Detecting social media users based on pedestrian networks and neighborhood attributes: an observational study. Appl Netw Sci 4, 113 (2019). https://doi.org/10.1007/s41109-019-0231-3

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  • DOI: https://doi.org/10.1007/s41109-019-0231-3