NETWORK ANALYSIS

Academic year
2021/2022 Syllabus of previous years
Official course title
NETWORK ANALYSIS
Course code
EM1422 (AF:344755 AR:183778)
Modality
On campus classes
ECTS credits
6
Degree level
Master's Degree Programme (DM270)
Educational sector code
SECS-P/05
Period
3rd Term
Course year
2
Where
VENEZIA
Moodle
Go to Moodle page
This course will familiarize students with concepts in network analysis field, by an introduction to the basic principles and classic themes dominating theoretical work in this scope.
By the end of the course, students will:
- understand the basic concepts used to represent the relational structures
- be familiar with several of the major theoretical programs in the network field
- be able to apply quantitative techniques to investigate structural analysis problems
Students are expected to master the fundamental concepts of linear algebra and a working knowledge of Python programming language before starting this course, although review and assistance will be provided.
- Introduction to network science
- Mathematics of networks
- Measures and metrics
- The large-scale structure of networks
- Network models
- Communities
- Spreading processes
- Link prediction
- Graph embeddings
- Network distances
- Network analysis with Python
(This outline may be subject to change)
- Slides and lecture notes.
- Networks: An Introduction, Mark Newman (Oxford University Press, 2010)
A seminar/project on an assigned topic and a written test.
Frontal lessons and seminars
English
written and oral
Definitive programme.
Last update of the programme: 12/01/2022