Pages that link to "Item:Q484024"
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The following pages link to A Bayesian approach for predicting the popularity of tweets (Q484024):
Displaying 9 items.
- A Bayesian approach for predicting the popularity of tweets (Q484024) (← links)
- A short-term trend prediction model of topic over Sina Weibo dataset (Q489708) (← links)
- Marked self-exciting point process modelling of information diffusion on twitter (Q1728642) (← links)
- Group level social media popularity prediction by MRGB and Adam optimization (Q2025074) (← links)
- Evolutionary prediction of nonstationary event popularity dynamics of Weibo social network using time-series characteristics (Q2039190) (← links)
- Predicting the popularity of tweets using internal and external knowledge: an empirical Bayes type approach (Q2058547) (← links)
- A Hierarchical Model of Nonhomogeneous Poisson Processes for Twitter Retweets (Q3304823) (← links)
- Pairwise influences in dynamic choice: network-based model and application (Q5861584) (← links)
- Enhancing social media post popularity prediction with visual content (Q6643305) (← links)