Probability distributions of COVID-19 tweet posted trends uses a nonhomogeneous Poisson process

Volume: 1, Issue: 4, Pages: 229 - 238
Published: Dec 5, 2020
Abstract
The influence of social media in disseminating information, especially during the COVID-19 pandemic, can be observed with time interval, so that the probability of number of tweets discussed by netizens on social media can be observed. The nonhomogeneous Poisson process (NHPP) is a Poisson process with dependent on time parameters and the exponential distribution having unequal parameter values and, independently of each other. The probability...
Paper Details
Title
Probability distributions of COVID-19 tweet posted trends uses a nonhomogeneous Poisson process
Published Date
Dec 5, 2020
Volume
1
Issue
4
Pages
229 - 238
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