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Identifying influencers in social networks
The objective of this project is the design and analysis of recommender systems as optimization algorithms representing a robust feedback controller. We aim to design recommender system algorithms that identify influential users using observable data from users (for example: clicks/ time spent on a page/ likes etc.) in a social network and provide recommendations accordingly.
Keywords: Control theory, online feedback optimization, social networks, opinion dynamics, Kalman filtering, recommender systems
Please look into the attached document.
Please look into the attached document.
1. Study of opinion dynamics
2. Literature review on online feedback optimization and implementation on MATLAB/Python/Julia;
3. Empirical and theoretical analysis of OFO algorithms to identify influential users in a social network
4. Final report and presentation.
1. Study of opinion dynamics 2. Literature review on online feedback optimization and implementation on MATLAB/Python/Julia; 3. Empirical and theoretical analysis of OFO algorithms to identify influential users in a social network 4. Final report and presentation.
We are looking for a talented and highly motivated student with a background in Automatic Control/Applied Mathematics or related fields, optimization and MATLAB/Python/Julia programming. No specific experience in optimization algorithms and/ or social networks is necessary. The student must be enrolled in a master program.
If you have any questions regarding the project, please do not hesitate to get in touch. If you would like to apply, please send a brief email with your CV (including lists of projects and optionally any document helpful to evaluate your background) and current grade transcript in PDF to: schandraseka@ethz.ch.
We are looking for a talented and highly motivated student with a background in Automatic Control/Applied Mathematics or related fields, optimization and MATLAB/Python/Julia programming. No specific experience in optimization algorithms and/ or social networks is necessary. The student must be enrolled in a master program.
If you have any questions regarding the project, please do not hesitate to get in touch. If you would like to apply, please send a brief email with your CV (including lists of projects and optionally any document helpful to evaluate your background) and current grade transcript in PDF to: schandraseka@ethz.ch.
Identifying_influencers_in_social_networks.pdf
