| KEYWORD |
Area Engineering
Modeling Online Social Networks Interactions
keywords BIG DATA ANALYSIS, DATA SCIENCE, MODELLING, SOCIAL NETWORKS
Reference persons EMILIO LEONARDI, LUCA VASSIO
External reference persons Michele Garetto, UNITO
Franco Galante, POLITO
Research Groups DATABASE AND DATA MINING GROUP - DBDM, SmartData@PoliTO, Telecommunication Networks Group
Thesis type DATA ANALYSIS, MODELLING
Description Online social networks, such as Instagram and Facebook, allow users to interact and debate with each other. In this reserarch, the candidate will analyze large quantities of data collected from social networks, possibily using big data techniques (such as Pyspark). Then, the student will model the phenomena that characterize the usage of the social network. Finally, these models will be validated and will help recognizing the differences in usage and forecast possible future scenarios.
Required skills Modellazione, analisi dati, big data (pyspark)
Deadline 30/09/2025
PROPONI LA TUA CANDIDATURA