Complex Systems
There is a revolution in the making when it comes to understanding the complex, interconnected world around us. For decades we have been taught to look for the source of all behavior in the properties of the system's constituents. This view is rapidly changing as we come to understand the architecture of complexity, the networks around us. Our research has a simple objective: think networks. It is about how networks emerge, what they look like, and how they evolve; and how networks impact on understanding of complex systems. To understand networks, our research has taken us to rather unexpected areas. We have studied the topology of the www - showing that webpages are on average 19 clicks form each other. We have investigated the complex cellular network inside the cell - looking at both metabolic and genetic networks. We have uncovered the Internet's Achilles' Heel. We have ventured to study how actors are connected in Hollywood. We have investigated the evolution of the collaboration network that connects scientists through joint publications. We have found that statistical physics allows us to capture the topology of these diverse systems within a single framework, understanding complex systems through networks. Our lab has various interests in many complex systems ranging from cell to the Internet.