Modelling social media virality with deep learning: insights from Bhopal, India

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Publication Details

Journal
International Journal of Mathematical Modelling and Numerical Optimisation
Published
2026-01-13
DOI
https://doi.org/10.1504/ijmmno.2027.10075551
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

Modelling social media virality with deep learning: insights from Bhopal, India

H. A. Bhavithra, S. Sindu Devi, Jebamalar Tamilselvi Jeyaraj, V. Uma Rani
International Journal of Mathematical Modelling and Numerical Optimisation
Misinformation and Its Impacts
article

Modelling social media virality with deep learning: insights from Bhopal, India

H. A. Bhavithra, S. Sindu Devi, Jebamalar Tamilselvi Jeyaraj, V. Uma Rani
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Mathematical Modelling and Numerical OptimisationVol. 1(1)
Openalex Percentile: Top 92%
Misinformation and Its Impacts
DOISourceOpenAlex
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Modelling social media virality with deep learning: insights from Bhopal, India — H. A. Bhavithra, S. Sindu Devi, et al. · International Journal of Mathematical Modelling and Numerical Optimisation (2026) | TGRS Research Map | TGRS