On the usage of epidemiological models for information diffusion over twitter
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-023-01130-8.pdf
Reference43 articles.
1. Anderson RM, May RM (1992) Infectious diseases of humans: Dynamics and control. OUP Oxford
2. Bansal R, Paka WS, Sengupta S, Chakraborty T, et al (2021) Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of covid-19 fake tweets. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 188–200. Springer
3. Barabási A-L (2013) Network science. Philos Transact Royal Soc A: Math, Phys Eng Sci 371(1987):20120375
4. Brauer F, Castillo-Chavez C (2011) Mathematical models in population biology and epidemiology. Texts in Applied Mathematics. Springer New York
5. Castellano C, Fortunato S, Loreto V (2009) Statistical physics of social dynamics. Rev Modern Phys 81(2):591
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