学术报告第201203期

报告时间：2012年5月28日 下午3：00－5：00
地点：南一楼 中311
报告题目: Network of Networks
报告人：高建喜 美国波士顿大学研究员
主持人：张海涛 教授
摘要：

Complex networks appear in almost every aspect of science and  technology. Nearly all network results have   been obtained by analyzing isolated networks, but  many real-world networks do in fact interact with and  depend on other networks. Very recently an analytical  framework for studying the percolation properties of interacting networks has been developed. Here we review the analytical  framework and the  results for connectivity properties for a  ``network of networks'' (NON) formed  by interdependent random networks. The  percolation properties of a network of networks differ greatly from those of isolated networks. In particular, networks with  broad degree distributions, such as scale free networks,  that are robust when analyzed as isolated networks, become  vulnerable in a NON. Moreover, in a NON, cascading failures appear due to  failure of dependent nodes in other networks. When there  is strong interdependent coupling between the networks,  the percolation transition is discontinuous (a first-order transition), unlike  the well-known continuous second-order transition in single isolated networks. These results will likely be useful in a wide range of  disciplines, since no networks is completely independent  of other networks.

个人简介：  

Jianxi Gao is a research fellow in Physics department in Boston  University. He works with H. E. Stanley, an academician of the United States  National Academy of Sciences, from Boston University and  Shlomo Havlin from Bar-Ilan University. Jianxi Gao studies the robustness  of complex network and collaborative control theory. He  has focused primarily on the percolation on network of  interdependent networks and the optimum synchronization on  self-propelled agent systems. He develops a general analytical framework for  studying percolation of n interdependent networks and  illustrate the analytical solutions for many distinct examples. Jianxi Gao  proposes a system of iterative equations somewhat analogous to Kirchhoff  equations for the resistor network in the field of  percolation on interdependent networks, which shows his  intelligent in finding the new percolation law in complex networks. He has one paper published in Nature Physics  (IF>18), one paper published in Physical Review Letters (IF>7), and 4  papers in Physical Review E (IF>2).