Research group, 2021, D-21 PWr - piętro 3 - pokój 231
Network Science Lab
We model complex systems as networks to study their dynamics, resilience, and spreading processes.
- complex networks
- multilayer networks
- temporal networks
- digital twins
- spreading processes
- influence modeling
- information diffusion
- epidemic modeling
- key node detection
- social network analysis
- personality prediction
- fairness in networks
- quantum network optimization
- infrastructure networks
- graph neural networks
- 9
- Members
Group leadership
Located
D-21 PWr - piętro 3 - pokój 231
Network Science Lab is a group of people from Wrocław Tech working on various aspects of network science, starting from spreading processes (information diffusion, influence spread, opinion formation, virus spread, etc.), through interacting spreading processes, seed selection (e.g. for influence maximisation, for “vaccination”, etc.), spreading velocity (e.g. seed distribution, process control etc.), community detection and evolution, social learning and cognitive processes, network control, streaming scenarios (including embeddings), and ending on computational social science. You can meet us at most of the top conferences on complex networks and social informatics, e.g., NetSci, NetSciX, IC2S2, ASONAM, SocInfo etc.
