A stochastic model of the tweet diffusion on the Twitter network
Tatsuro Kawamoto

TL;DR
This paper presents a stochastic model for tweet diffusion on Twitter, using a generational approach and multiplicative processes, validated by empirical data analysis.
Contribution
It introduces a novel generational multiplicative model for tweet spread and confirms its validity through real Twitter data analysis.
Findings
The model accurately describes tweet diffusion dynamics.
Empirical data supports the multiplicative process assumption.
Provides insights into the spread patterns of tweets.
Abstract
We introduce a stochastic model which describes diffusions of tweets on the Twitter network. By dividing the followers into generations, we describe the dynamics of the tweet diffusion as a random multiplicative process. We confirm our model by directly observing the statistics of the multiplicative factors in the Twitter data.
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