  Nature is full of random networks of complex topology describing such
apparently disparate systems as biological, economical or informatical ones.
Their most characteristic feature is the apparent scale-free character of
interconnections between nodes. Using an information theory approach, we show
that maximalization of information entropy leads to a wide spectrum of possible
types of distributions including, in the case of nonextensive information
entropy, the power-like scale-free distributions characteristic of complex
systems.
