Abstract
Diverse complex systems such as cells, Internet and society can be mapped into networks by simplifying each constituent as a node and their interaction as a link. Traditionally it has been considered that these networks are random, but recent series of studies show that they are far from being random and have common inhomogeneous topology through generic self-organizing process. In this chapter, we briefly introduce the network analysis methods which were re-developed in statistical physics community recently. First, we introduce basic complex network models such as Erdős-Rènyi model, small-world model, scale-free model which were developed to describe complex systems. And then, we applied these methods to biological system, such as metabolic network and protein-protein interaction network of E. coli. We measure the global and local characteristics of the network structure. Finally we briefly review recent works on biological networks especially on dynamic aspect.
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Jeong, H. (2009). Analysis of E. coli Network. In: Lee, S.Y. (eds) Systems Biology and Biotechnology of Escherichia coli . Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9394-4_7
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DOI: https://doi.org/10.1007/978-1-4020-9394-4_7
Publisher Name: Springer, Dordrecht
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