Covers the basics of brain connectomics, including brain networks, terminology, data schemes, preprocessing, node connectivity, and functional connectome structure.
Delves into social and information networks dynamics, including herding behavior, information cascades, preferential attachment, and the Friendship Paradox.
Explores neuroimaging basics, brain network scales, connectivity, history, and physics, emphasizing the importance of understanding data at different scales.
Explores brain network modules and community structure, including the natural modular functional connectome, network modularity, and community detection algorithms.
