Complex networks I

19 dezembro 2017, 17:00 • Alexandre Francisco

Introduction to network science. Brain functional networks: inference from fMRI data and general properties. Centrality measures and network properties.  Degree distribution. Connected components distribution. Scale-free networks.  Average path length, effective diameter and small world effects. Clustering coefficient, counting triangles, counting sub-graphs and graph motifs. Basic algorithms and efficient graph representations. Supporting material: topics 02 and 03.