SOCIAL NETWORK ANALYSIS

Academic year
2021/2022 Syllabus of previous years
Official course title
SOCIAL NETWORK ANALYSIS
Course code
CT0540 (AF:314735 AR:172464)
Modality
On campus classes
ECTS credits
6
Degree level
Bachelor's Degree Programme
Educational sector code
INF/01
Period
1st Semester
Course year
3
Where
VENEZIA
Moodle
Go to Moodle page
The course aims at providing an introduction to social network analysis and the study of complex networks.
The course will explore methods and techniques for big data analysis and the modelling of dynamic complex systems such as social networks.
The course aims at providing skills and expertise for:
- Managing, manipulating, visualising and interpreting big data;
- Understanding network science principles;
- Understanding main techniques and methods for the analysis of complex systems.
Programming, statistics, calculus.
- Introduction to Graph Theory
- Social Networks
- Strong and Weak Ties
- Homophily and Social Influence
- Network Dynamics
- Information Cascades
- The Small-World Phenomenon

(This outline may be subject to change.)
Easley, David, and Jon Kleinberg. Networks, crowds, and markets. Cambridge University Press, 2010.
Barabási, Albert-László. Network Science. Cambridge University Press, 2016
The final exam consists of theoretical questions about the course content and of the presentation of a project previously agreed with the instructor.
Interactive frontal classes.
Italian
written and oral

This subject deals with topics related to the macro-area "Human capital, health, education" and contributes to the achievement of one or more goals of U. N. Agenda for Sustainable Development

Goal 3: good health and well-being
Goal 4: quality education
Definitive programme.
Last update of the programme: 29/05/2021