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Proteins participating in a protein-protein interaction network can begrouped into homology classes following their common ancestry. Proteins addedto the network correspond to genes added to the classes, so that the dynamicsof the two objects are intrinsically linked. Here, we first introduce astatistical model describing the joint growth of the network and thepartitioning of nodes into classes, which is studied through a combinedmean-field and simulation approach. We then employ this unified framework toaddress the specific issue of the age dependence of protein interactions,through the definition of three different node wiring/divergence schemes.Comparison with empirical data indicates that an age-dependent divergence moveis necessary in order to reproduce the basic topological observables togetherwith the age correlation between interacting nodes visible in empirical data.We also discuss the possibility of nontrivial joint partition/topologyobservables.

Influence of homology and node-age on the growth of protein-protein interaction networks