(1) Titulo del curso: Complex networks (2) Programa Networks are present in almost all aspects of our life. Communication networks consisting of telephones and cellular phones, the electric power grid, computer communication networks, the Internet and WWW are important aspects of everyday life. Our social structure is also highly networked. The network of friendship between individuals, working relations, or common interests are examples of social networks. Cities and countries are connected by roads and airline networks. Epidemics spread in population networks. Biological networks representing the interactions between genes and proteins in our body are of fundamental importance to understand systems biology. Ecological networks, such as predator-prey networks, are also under intensive study today. The physical world is also rich in network phenomena such as interactions between neurons in the brain, between monomers in polymers, grains in granular media, spins in random media or the network of configurations of proteins in an energy landscape. In this course we will develop the basic concepts from graph theory to understand the structure of complex networks. Topics to be covered include: Random network models. Small-world networks. Preferential attachment models. Fractal complex networks. Geographically embedded networks. Percolation and robustness of complex networks. Renormalization groups and critical phenomena in complex networks. Network function and dynamics. Applications of networks to disordered systems and spin glasses. (3) Bibliografia Complex Networks: Structure, Robustness and Function. R. Cohen and S. Havlin Cambridge University Press, 2008 (4) Nombre del profesor visitante Hernan Makse (5) Nombre del profesor responsable Mariano Sigman (6) Fechas de comienzo y finalizacion: Agosto 27-Septiembre 7, 2012. (7) Total de hs del curso: 30 horas, 25 de teoria y 5 de practica. (8) Forma de evaluacion: Examen Final