Provided by:
UNIPI, CNR
From:
Master II Livello Big Data Analytics
Sede:
Computer Science Department, Unversity of Pisa
Lecturers:
Andrea PASSARELLA
Semester:
2
Hours:
20
Educational Goals:
This course introduces students to the theories, concepts and measures of Social Network Analysis (SNA), that is aimed at characterizing the structure of large-scale Online Social Networks (OSNs). The course presents both classroom teaching to introduce theoretical concepts, and hands-on computer work to apply the theory on real large-scale datasets obtained from OSNs like Facebook and Twitter. The course aims to discuss in particular how the structural properties of social networks can be analyzed through SNA techniques, and how these properties can be used to characterize social phenomena arising in the society.
