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We propose here a methodology to help to understand the shortcomings ofpublic transportation in a city via the mining of complex networks representingthe supply and demand of public transport. We show how to build these networksbased upon data on smart card use in buses via the application of algorithmsthat estimate an OD and reconstruct the complete itinerary of the passengers.The overlapping of the two networks sheds light in potential overload and wastein the offer of resources that can be mitigated with strategies for balancingsupply and demand.

Detec\c{c}\~ao de comunidades em redes complexas para identificar gargalos e desperd\'icio de recursos em sistemas de \^onibus