Theory and Practice of Social Networks
A.Y. 2018/2019
Learning objectives
Il corso ha lo scopo di illustrare le basi teoriche, i metodi e gli algoritmi della analisi di reti. L'obiettivo finale è fornire agli studenti le capacità teoriche ed applicative per l'analisi di reti complesse con particolare riferimento alle reti sociali.
Expected learning outcomes
Undefined
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
ATTENDING STUDENTS
Course syllabus
Networks models
Connected componentes
Node degree
Scale-free networks
Clustering coefficient
Small-world networks
Node Similarity
Assortativity
Community detection
Information diffusion
Link prediction
Data gathering
Connected componentes
Node degree
Scale-free networks
Clustering coefficient
Small-world networks
Node Similarity
Assortativity
Community detection
Information diffusion
Link prediction
Data gathering
Website
NON-ATTENDING STUDENTS
Course syllabus
Networks models
Connected componentes
Node degree
Scale-free networks
Clustering coefficient
Small-world networks
Node Similarity
Assortativity
Community detection
Information diffusion
Link prediction
Data gathering
Connected componentes
Node degree
Scale-free networks
Clustering coefficient
Small-world networks
Node Similarity
Assortativity
Community detection
Information diffusion
Link prediction
Data gathering
INF/01 - INFORMATICS - University credits: 12
Laboratories: 48 hours
Lessons: 72 hours
Lessons: 72 hours
Professor(s)
Reception:
by appointment via email
office (Celoria 18, floor VII) or online (covid emergency)