#6271. Retweet Prediction based on Topic, Emotion and Personality

September 2026publication date
Proposal available till 20-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Communication;
Computer Networks and Communications;
Information Systems;
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
2350 $1200 $1050 $900 $
Contract №6271.1 Contract №6271.2 Contract №6271.3 Contract №6271.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
Social networks such as Facebook, Twitter, Instagram play an important role in information diffusion. To understand how information is diffused in these social networks, it is important to examine users’ online activities and behaviors. In this work, we focus on Twitter and study the impact of users’ behaviors on their retweet activities (the major way of information diffusion on Twitter). We consider the topic preference, emotion and personality of a user as part of the user profile to represent their online behavior. The user profile can be built based on all their past tweets, retweets, or both. We propose two types of retweet prediction models, one is using classification algorithms, and the other is using matrix factorization algorithms. In the matrix factorization approach, we include behavior features into the basic factorization model through newly defined regularization terms.
Keywords:
emotion; machine learning; matrix factorization; personality; Retweet prediction

Contacts :
0