Postgrad LIVE! Study Fairs

Birmingham | Edinburgh | Liverpool | Sheffield | Southampton | Bristol

Wellcome Trust Featured PhD Programmes
King’s College London Featured PhD Programmes
University of Glasgow Featured PhD Programmes
University of Oxford Featured PhD Programmes
University of Manchester Featured PhD Programmes

Opinion diffusion analysis from social media

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Dr C Lin
    Dr W Pang
  • Application Deadline
    Applications accepted all year round

Project Description

With the prevalence of Web 2.0 techniques as well as various online communities such as blogs, Facebook and Twitter, the traditional physics of information diffusion have been greatly changed where people now can easily share or spread a piece of information though online communities in unprecedented speed and scale at nearly no cost. In the field of social network analysis, a great body of research work has been done with the aim to model the dynamics and characteristics of information diffusion from social media. Apart from the research value, the modelling of information diffusion plays a crucial role in many applications, such as maximizing the influence of online campaign, advert recommendation and early detection of outbreaks, etc.

Compared to the traditional information diffusion analysis, modelling opinion diffusion raises more challenges because in most cases opinions are implicit and abstract concepts expressed in natural language. This PhD project will use computational techniques from data mining, network analysis and natural language processing to investigate how opinions diffuse over implicit social networks. In particular, we will (1) investigate what social factors may affect opinion formation; (2) identify who are the opinion influencers within the network and (3) develop novel models for opinion diffusion pattern analysis and prediction.

The outcome of the project will be evaluated in terms of both performance and quality with comparisons to state-of-the-art systems.

The successful applicant should have, or expect to have, an Honours Degree at 2.1 or above (or equivalent) in Computing Science, Mathematics, Engineering or related disciplines. Good knowledge of machine learning, statistical modelling and natural language processing. Some experience in programming or software development would be beneficial.

The other supervisor on this project is Professor G Coghill, Computing Science

Funding Notes

here is no funding attached to this project, it is for self-funded students only.


The Role of Social Networks in Information Diffusion

Application Process:

Formal applications can be completed online: You should apply for PhD in Computing Science, to ensure that your application is passed to the correct College for processing. Please ensure that you quote the project title and supervisor on the application form.

Informal inquiries can be made to Dr C Lin, ([email protected]) with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Graduate School Admissions Unit ([email protected]).

FindAPhD. Copyright 2005-2018
All rights reserved.