CHAPTER 3 Biological networks

  • Ricard J
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Elements that interact constitute a network whose nodes, or vertices, are the elements in interaction and the edges, or links, the interactions between the elements. In this perspective, any biological system can be considered a network. This chapter offers a general view of the science of networks as applied to biological systems. The following points are of particular interest: random graphs, percolation as a model for the emergence of organization in a network, small-world and scale-free networks with a particular emphasis on metabolic networks, and attack tolerance of networks. © 2006 Elsevier B.V. All rights reserved.

Author-supplied keywords

  • Cayley tree (Bethe lattice)
  • attack tolerance of networks
  • binary matrix of a graph
  • cluster size distribution
  • clustering coefficient
  • connectedness
  • diameter of a network
  • evolution of random graphs
  • graphs
  • metabolic networks
  • network clustering coefficient
  • networks
  • path-length of a network
  • percolation
  • percolation probability
  • percolation threshold
  • phase transition in random graphs
  • power law
  • random networks
  • scale-free networks
  • small-world networks

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  • J. Ricard

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