  In this work we investigate the betweenness centrality in geographical
networks and its relationship with network communities. We show that vertices
with large betweenness define what we call characteristic betweenness paths in
both modeled and real-world geographical networks. We define a geographical
network model that possess a simple topology while still being able to present
such betweenness paths. Using this model, we show that such paths represent
pathways between entry and exit points of highly connected regions, or
communities, of geographical networks. By defining a new network, containing
information about community adjacencies in the original network, we describe a
means to characterize the mesoscale connectivity provided by such
characteristic betweenness paths.
