Project: Social Behaviour Analysis -- Information Spreading on Twitter

This research project aims to analyse, quantify and predict information spreading behaviours among users on Twitter. It aims to use Machine Learning methods to identify the most relevant features that determine a user's choice of information source when multiple sources are available. Different types of features are studied, including user profile features, language features of previous tweets, and user interactions and behavious.

Requirements:

BSc/MEng/MSc student in the Department of Computer Science.
Good knowledge and skills in machine learning.
Good skills in programming, such as Python.

More information:

Please read the following student theses for more information.This project is a continuation of these works. Please click links to download PDF files.

MSc-ML Thesis (2022): Title: Retweeting behaviour prediction based on user-based features
MSc-DSML Thesis (2022): Title: Study on user retweeting behaviour based on Tweet content

Contact:

Please contact Shi Zhou <s.zhou (at) ucl.ac.uk> for more information.