  We investigate the characteristics of the solar flares complex network. The
limited predictability, non-linearity, and self-organized criticality of the
flares allow us to study systems of flares in the field of the complex systems.
Both the occurrence time and the location of flares detected from January 1,
2006 to July 21, 2016 are used to design the growing flares network. The solar
surface is divided into cells with equal areas. The cells, which include
flare(s), are considered as nodes of the network. The related links are
equivalent to sympathetic flaring. The extracted features present that the
network of flares follows quantitative measures of complexity. The power-law
nature of the connectivity distribution with a degree exponent greater than
three reveals that flares form a scale-free and small-world network. The great
value of the clustering coefficient, small characteristic path length, and
slowly change of the diameter are all characteristics of the flares network. We
show that the degree correlation of the flares network has the characteristics
of a disassortative network. About 11% of the large energetic flares (M and X
types in GOES classification) that occurred in the network hubs cover 3% of the
solar surface.
