Detec\c{c}\~ao de comunidades em redes complexas para identificar   gargalos e desperd\'icio de recursos em sistemas de \^onibus
  We propose here a methodology to help to understand the shortcomings of public transportation in a city via the mining of complex networks representing the supply and demand of public transport. We show how to build these networks based upon data on smart card use in buses via the application of algorithms that estimate an OD and reconstruct the complete itinerary of the passengers. The overlapping of the two networks sheds light in potential overload and waste in the offer of resources that can be mitigated with strategies for balancing supply and demand. 
Carlos Caminha, Vasco Furtado, Vl\'adia Pinheiro, Caio Ponte
cs.AI cs.SI