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Deutsche Physikalische Gessellschaft IOP Institute of Physics

Cliques and duplication–divergence network growth

I Ispolatov1,3, P L Krapivsky2, I Mazo1 and A Yuryev1

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A population of complete subgraphs or cliques in a protein network model is studied. The network evolves via duplication and divergence supplemented with linking a certain fraction of target–replica vertex pairs. We derive a clique population distribution, which scales linearly with the size of the network and is in perfect agreement with numerical simulations. Fixing both parameters of the model so that the number of links and abundance of triangles are equal to those observed in the fruitfly protein-binding network, we precisely predict the 4- and 5-clique abundance. In addition, we show that such features as fat-tail degree distribution, various rates of average degree growth and non-averaging, revealed recently for a particular case of a completely asymmetric divergence, are present in a general case of arbitrary divergence.


PACS

87.14.E- Proteins

02.50.Cw Probability theory

87.15.B- Structure of biomolecules

87.15.A- Theory, modeling, and computer simulation

Subjects

Computational physics

Biological physics

Dates

Issue 1 (June 2005)

Received 12 February 2005

Published 17 June 2005



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