Complex Networks - BMETEEFBsPKMPL-00

Practice sessions

Practice part of the course will be confined to the first part of the semester, there will be 4 two hour practice sessions, at given dates (TBA).

Subjects covered

(order may change)

  1. Introduction, graphs
  2. Basic measures, Random graphs (Erdős-Rényi, Watts-Strogatz)
  3. Scale free property, Barabási-Alber model
  4. Percolation, robustness
  5. Centrality, navigation
  6. Social networks, node similarity
  7. Random walk, temporal networks
  8. SIR, spreading
  9. Sampling
  10. Stochastic block model, Embedded networks
  11. Communities
  12. Hierarchy, Core periphery structure

Requirements

  • 70% of Homeworks
  • Exam (written)
  • Project presentations (in pairs)

Evaluation

  • Exam: 100, those who fail the test cannot get a grade
  • Projects: 100 points for both pairs
  • Marks (all points summed up):
    1. -109
    2. 110-139
    3. 140-169
    4. 170-199
    5. 200-

Consultation

During the classes or on demand by email.