Nowadays, the air passenger traffic has been increasing, becoming an excellent, viable and reachable option for many people. This causes that airports may require an efficient organization to serve both, the companies that use the facilities and the passengers. In addition, it is important to consider that the amount of information that is generated may not be easy to analyze, sometimes because the managers don´t know all the information that they have, or they don´t know how much this information an help the business or what they can do with all this data. Therefore, in this work, we perform an analysis of the information obtained from Culiacan´s airport (domestic and international passengers), using the methodology of Complex Networks and simulation to validate the forecast. Also, with the results obtained, we will seek to put forward improvements in the service of this type of facilities, and the infrastructure.