%0 Book Section %B Proceedings of the Artificial Life Conference 2016 %D 2016 %T Complexity and Structural Properties in Scale-free Networks %A Yesid Madrid %A Carlos Gershenson %A Nelson Fernández %X We apply formal information measures of emergence, self-organization and complexity to scale-free random networks, to explore their association with structural indicators of network topology. Results show that the cumulative number of nodes and edges coincides with an increment of the self-organization and relative complexity, and a loss of the emergence and complexity. Our approach shows a complementary way of studying networks in terms of information. %B Proceedings of the Artificial Life Conference 2016 %P 730–731 %G eng