"Community detection algorithms were developed to identify clusters within a network dataset. These methods are most often applied to examples within the social network sphere, in the identification of cliques, where a cluster demonstrates high inter-connectivity, with lower connectivity with the rest of the network. My thinking behind this bit of work was that we might be able to identify similar characteristics in traffic flow, where we can observed high coupling between clusters of nodes.
The map below visualises the modules (distinguished by colour) identified through the application of community detection methods to a topological representation of the road network. Node connectivity is established using a dataset of 1.5 million private hire cab routes through London."