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Ebola and complex network structures in nature

The global spread of Ebola is due to the complex between individuals, societies, and transportation and trade networks. Understanding and building appropriate statistical and mathematical models of these is vital to responding to the challenges of living in a networked world. There are, of course, many other examples of — from national power grids and to , neuronal networks and .

[Example Complex Networks]
Four example complex networks, from top-left to bottom-right: (a) a wiring diagram of the nematode worm brain; (b) a constructed from a chaotic circuit; (c) a partial representation of the author’s Facebook friend network, colored according clustering; and (d) a (fragmented) network of potential infection pathways for avian influenza. Despite the apparently diverse structure and origin, these four structures can be modelled and described by the same theory. In this paper we develop that theory to better understand which of the features of these networks are important, and which may be due to random fluctuation.
Credit: ©Science China Press


Random complex networks

Michael Small, Lvlin Hou, and Linjun Zhang

National Science Review, 2014, 1(3): 357-367 doi: 10.1093/nsr/nwu021

Science China Press