Modeling the propagation of riots, collective behaviors and epidemics

Berestycki, Henri; Nordmann, Samuel; Rossi, Luca

doi:10.3934/mine.2022003

Cited by 4 publications

(1 citation statement)

References 69 publications

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“…Granovetter threshold model (threshold model) [37]: In [38], the authors show how the linear threshold model GLT (an evolution of the Granovetter model) can more accurately simulate the dissemination of information in social media and detect disseminators.…”

Section: Related Workmentioning

confidence: 99%

Detection of Induced Activity in Social Networks: Model and Methodology

2021

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This paper examines the problem of social media special operations and especially induced support in social media during political election campaigns. The theoretical background of the paper is based on the study fake activity in social networks during pre-election processes and the existing models and methods of detection of such activity. The article proposes a methodology for identifying and diagnosing induced support for a political project. The methodology includes a model of induced activity, an algorithm for segmenting the audience of a political project, and a technique for detecting and diagnosing induced support. The proposed methodology provides identification of network combatants, participants of social media special operations, influencing public opinion in the interests of a political project. The methodology can be used to raise awareness of the electorate, the public, and civil society in general about the presence of artificial activity on the page of a political project.

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Section: Related Workmentioning

confidence: 99%

Detection of Induced Activity in Social Networks: Model and Methodology

2021

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‘An Infectious Madness’

Joshua

2024

Nineteenth-Century Literature in Transition: The 1830s

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A space-time Chebyshev spectral collocation method for the reaction–dispersion equations with anti-kink-type waves

Sarı

Koçak

Tunc

2022

Int. J. Mod. Phys. C

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The aim of this work is to provide an efficient technique for numerical solutions of the reaction–dispersion equations including convection and diffusion. The Chebyshev spectral collocation method (ChSCM) is used in both space and time to exhibit anti-kink-type waves that appear as the result of the proposed model equations. It is shown that the revealed solutions are promising to efficiently catch such challenging physical behavior. Quantitative convergence results in both time and space are illustrated for the reaction–dispersion problems.

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Modeling the propagation of riots, collective behaviors and epidemics

Cited by 4 publications

References 69 publications

Detection of Induced Activity in Social Networks: Model and Methodology

Detection of Induced Activity in Social Networks: Model and Methodology

‘An Infectious Madness’

A space-time Chebyshev spectral collocation method for the reaction–dispersion equations with anti-kink-type waves

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