Tipo di tesi
Tesi di laurea magistrale
Titolo
An Algorithmic Framework for Assessing Stability of Dynamic Ego Networks
Corso di studi
INFORMATICA
Parole chiave
- dynamic ego network stability
- dynamic ego networks
- ego network stability
Data inizio appello
28/02/2025
Consultabilità
Non consultabile
Data di rilascio
28/02/2065
Riassunto (Italiano)
This thesis introduces a comprehensive algorithmic framework designed to assess the stability of dynamic ego networks, with a focus on understanding and quantifying changes in localized network structures over time. The research leverages foundational concepts from graph theory and stochastic processes, integrating models such as the Pólya urn to model the probabilistic reinforcement of network connections.
