Literature DB >> 34584133

The small-world network of global protests.

Leonardo N Ferreira1, Inho Hong2, Alex Rutherford2, Manuel Cebrian2.   

Abstract

Protest diffusion is a cascade process that can spread over different regions of the planet. The way and the extension that this phenomenon can occur is still not properly understood. Here, we empirically investigate this question using protest data from GDELT and ICEWS, two of the most extensive and longest-running data sets freely available. We divide the globe into grid cells and construct a temporal network for each data set where nodes represent cells and links are established between nodes if their protest events co-occur. We show that the temporal networks are small-world, indicating that the cells are directly linked or separated by a few steps on average. Furthermore, the average path lengths are decreasing through the years, which suggests that the world is becoming "smaller". The persistent temporal hubs present in both data sets indicate that protests can spread faster through the hubs. This topological feature is consistent with the hypothesis that protests can quickly diffuse from one region to any other part of the globe.
© 2021. The Author(s).

Entities:  

Year:  2021        PMID: 34584133      PMCID: PMC8479126          DOI: 10.1038/s41598-021-98628-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  9 in total

1.  A novel spike distance.

Authors:  M C van Rossum
Journal:  Neural Comput       Date:  2001-04       Impact factor: 2.026

2.  Random graphs with arbitrary degree distributions and their applications.

Authors:  M E Newman; S H Strogatz; D J Watts
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2001-07-24

3.  Scale-free networks are ultrasmall.

Authors:  Reuven Cohen; Shlomo Havlin
Journal:  Phys Rev Lett       Date:  2003-02-04       Impact factor: 9.161

4.  Measuring spike train synchrony.

Authors:  Thomas Kreuz; Julie S Haas; Alice Morelli; Henry D I Abarbanel; Antonio Politi
Journal:  J Neurosci Methods       Date:  2007-06-02       Impact factor: 2.390

5.  Collective dynamics of 'small-world' networks.

Authors:  D J Watts; S H Strogatz
Journal:  Nature       Date:  1998-06-04       Impact factor: 49.962

6.  Growing pains for global monitoring of societal events.

Authors:  Wei Wang; Ryan Kennedy; David Lazer; Naren Ramakrishnan
Journal:  Science       Date:  2016-09-30       Impact factor: 47.728

7.  Limits of social mobilization.

Authors:  Alex Rutherford; Manuel Cebrian; Sohan Dsouza; Esteban Moro; Alex Pentland; Iyad Rahwan
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-01       Impact factor: 11.205

8.  The ubiquity of small-world networks.

Authors:  Qawi K Telesford; Karen E Joyce; Satoru Hayasaka; Jonathan H Burdette; Paul J Laurienti
Journal:  Brain Connect       Date:  2011-11-14
  9 in total
  1 in total

1.  An agenda for addressing bias in conflict data.

Authors:  Erin Miller; Roudabeh Kishi; Clionadh Raleigh; Caitriona Dowd
Journal:  Sci Data       Date:  2022-09-30       Impact factor: 8.501

  1 in total

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