A variety of techniques and models have emerged in recent years which are designed to help us understand the empirically observed properties of complex networks such as the internet, social networks and biological networks. Inspired by a recent review by Newman [SIAM Review <b>45</b>, 167-256 (2003)], I will illustrate some of the common statistical properties these networks exhibit and outline the fundamental models which form the basis of most of the theoretical investigations of the structure of complex networks.
This is a weekly series of informal talks given primarily by members of the soft condensed matter and statistical mechanics groups, but is also open to members of other groups and external visitors. The aim of the series is to promote discussion and learning of various topics at a level suitable to the broad background of the group. Everyone is welcome to attend..