Lectures related to Giant component

Covers conditional statements and graph theory, including proof techniques and concepts related to graphs, paths, connectivity, and gossip protocols.

Delves into detecting communities in random graphs, exploring fundamental laws, phase transitions, and spectral algorithms.

Explores neural signals, connectomes, graph theory, and multi-voxel pattern analysis in fMRI trials.

Covers percolation theory and random graph models, exploring connectivity thresholds and critical power for wireless networks.