Risk Identification, Propagation and Control in Complex Networks


Complex networks are graphs (networks) with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs but often occur in graphs modelling of real systems. The study of complex networks is a young and active area of scientific research inspired largely by the empirical study of real-world networks. Most social, biological and technological networks are clearly defined and extensively studied as complex networks.

Risk is a universal concern of most social, biological and technological systems, so could be studied in the context of complex networks, such as, rumor diffusion in social networks, epidemic in social and biological networks, credit risk in financial networks, virus attacks in computer networks, and so on. Risk in complex networks is becoming a more and more important study area as the theory and practice of complex networks develops.

The aim of this session is to provide a forum to disseminate and discuss different risk issues in complex networks, with special attention to risk propagation in various kinds of complex networks, and the theories and method of risk identification and control. It needs to bring together innovative minds in various disciplines to develop a deeper understanding of multiple risks in all kinds of complex networks.

Scope and Topics:

Models of Complex Networks

Structural and Functional Analysis of Complex Networks

Dynamics of Complex Network: Synchronization, propagation, game, etc.

Risk identification and Assessment in Complex Networks

Risk propagation in Complex Networks

Risk Control and stability of Complex Networks

Theory and Practice on Network Security