Introduction to network dynamics, evolving networks.
Spreading phenomena
Temporal networks
Development of dynamic network properties
Link prediction methods
Platforms for working with large-scale social networks
Introduction to multilayer networks, multiplex, and multi-slice networks and their representations
Measurement of properties in multilayer networks (centralities and relevance)
Measurement of properties in multilayer networks (path-based properties and random walk processes)
Communities in multilayer networks
Models in multilayer networks
Spreading phenomena in multilayer networks
Visualization of multilayer networks
Seminars follow the lectured topics and focus on solving practical tasks. Experiments are performed on medium and large-scale reference and real-world networks with prototyping implementations of selected methods and using tools and libraries (e.g., Gephi, libraries for R and Python).
Spreading phenomena
Temporal networks
Development of dynamic network properties
Link prediction methods
Platforms for working with large-scale social networks
Introduction to multilayer networks, multiplex, and multi-slice networks and their representations
Measurement of properties in multilayer networks (centralities and relevance)
Measurement of properties in multilayer networks (path-based properties and random walk processes)
Communities in multilayer networks
Models in multilayer networks
Spreading phenomena in multilayer networks
Visualization of multilayer networks
Seminars follow the lectured topics and focus on solving practical tasks. Experiments are performed on medium and large-scale reference and real-world networks with prototyping implementations of selected methods and using tools and libraries (e.g., Gephi, libraries for R and Python).