Theoretical Aspects and Models of Large, Complex and Open Information Networks

Large, Complex and Open Information Networks consist of many interacting nodes, and have been shown to possess emerging properties such as the small-world character or the widespread heterogeneity of the connectivity.

Research in network theory includes many different aspects. New tools have been developed for the analysis and description of the topology of networks. New models have aimed at understanding how self-organization is realized and how local decisions concerning connectivity among nodes affect the global emergent properties of such networks, like percolation, clustering, critical exponents etc.
Moreover, complex networks are most often the substrate of many dynamical process that can be of critical importance. For example, biological networks carry out vital functions, the Internet is the support of many different information transfer networks, while social networks are the environment in which epidemics, rumors, fads or opinions propagate. Finally, attention has been recently been devoted to the dynamical nature of networks, whose topology can be influenced by the dynamical process of which it is the support.

The scope of this workshop is to foster interaction among researchers interested in these various aspects of network science, and to encourage interdisciplinary approaches (for example, from the point of view of complex systems, computer science, statistical mechanics, discrete mathematics, biology and others).