Each node of the network represents a different brain region and is colour-coded according to the larger area is located in. Pairs of nodes are linked if the activity of the two regions is found to synchronize a lot of the time during an fMRI brain scan, and the size of nodes represents how many other regions a given node is linked to. The resulting network is used to analyze information flow in brains of healthy people as well as patients with disorders such as schizophrenia. To better understand these networks, we can decompose them into communities of nodes which are more densely connected with each other than with the rest of the network. This gives rise to a different picture, where the nodes are layed out in space according to the communities they participate in, rather than their location in real anatomical space. This video shows the transition from a network showing the connections between different brain regions in their anatomical locations, and a new layout emphasizing the network's structure, with nodes relocated and re-coloured based on their membership in network communities. To find out more, visit this page: http://www.cam.ac.uk/research/features/neuro-tweets-hashtagging-the-brain/