Estrada, E. (2009) Spectral theory of networks: from biomolecular to ecological systems. In: Analysis of Complex Networks: From Biology to Linguistics. WileyVCH, pp. 5583. ISBN 9783527323456

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Abstract
The best way for understanding how things work is by understanding their structures [1]. Complex networks are not an exception [2]. In order to understand why some networks are more robust than others, or why the propagation of a disease in faster in one network than in another is necessary to understand how these networks are organized [35]. A complex network is a simplified representation of a complex system in which the entities of the system are represented by the nodes in the network and the interrelations between entities are represented by means of the links joining pairs of nodes [35]. In analyzing the architecture of a complex network we are concerned only with the topological organization of these nodes and links. That is to say, we are not taking care of any geometric characteristic of the systems we are representing by these networks but only on how the parts are organized or distributed to form the whole system.
Item type:  Book Section 

ID code:  15035 
Keywords:  spectral theory, complex networks, biomolecular systems, ecological systems, graph spectra, node centrality, global topological organization, communicability, network bipartivity, Probabilities. Mathematical statistics, Mathematics 
Subjects:  Science > Mathematics > Probabilities. Mathematical statistics Science > Mathematics 
Department:  Faculty of Science > Mathematics and Statistics 
Depositing user:  Mrs Carolynne Westwood 
Date Deposited:  07 Jan 2010 11:26 
Last modified:  24 Jul 2015 08:59 
URI:  http://strathprints.strath.ac.uk/id/eprint/15035 
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