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Here we investigate both the conservation of network architectural properties across methodological variation and the reproducibility of individual architecture across multiple scanning sessions.
First, we define individual p-values for the conservation of network topology and sequence homology.
A characteristic feature of these networks is the apparent conservation of network diameter even in distantly related organisms [ 167].
An analysis of conservation of network edges following gene duplications of different ages was also performed (Table 7).
As with the genome, there is significant conservation of network structure between organisms (Matthews et al., 2001; Yu et al., 2004).
Topological similarity on the other hand is a measure of the conservation of network topologies with respect to the given set of mappings in the alignment.
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From a comparative evolutionary perspective, our results underscore the importance of looking for conservation of networks, and not just conservation at the level of individual genes.
It could be argued that the conservation of networks is warranted despite the higher costs and time investment, given the aforementioned benefits of monitoring and analysing interactions, in addition to species diversity.
This is analogous to the distinction between the conservation of global network topological properties and the divergence of local connections previously observed for orthologous human and mouse coexpression networks [ 6], but the pattern seen here is even more extreme.
The energy conservation of the network can be minimized by allowing the porting of the nodes called cluster heads.
The result for IgG is expected, since it is consistent with the conservation of the network organization (similar topology of the newborns' and mothers' IgG immune trees).
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