Introduction:
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The discovery of the laws governing the structure and dynamics of Complex
Networks is one of the greatest challenges of modern science. Nowadays, we have at
hand many outstanding results in this research field, and large progress has been made
in basic theoretical aspects, especially in the search of how the generated knowledge can
be applied to the characterization and exploitation of real systems. Biology is one of the
most benefited fields from these advances. Biological networks, in part due to the
massive acquisition of data at the molecular and cellular levels, have constituted a
relevant niche to test concepts of complexity and Graph Theory. At the same time, the
characterization of real biological systems has fed back into new models, theoretical
tools and numerical techniques, enriching our current knowledge of complex networked
systems.
In this session we aim to focus on the real contribution that Complex Network Theory
has made to improve our knowledge of Biological processes, paying special attention on
genotype, protein, and metabolic networks, brain networks, mesoscales in biological
systems, ecological networks and food webs. |
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