Tailoring, counting and generating structured random graphs
by
A. C. C. Coolen(King's College, London)
→
Europe/Stockholm
Description
Ensembles of structured random graphs with controlled topological properties
are a natural language for describing complex cellular signalling networks,
such as protein-protein interaction or gene regulation networks.
They allow us to classify and compare such networks, provide `null models'
for hypothesis testing, and generate proxies for real networks in
(nonequilibrium) statistical mechanical process modelling.
In this talk I present some recent exact results obtained via statistical
mechanical and information-theoretic tools on tailored random graph ensembles,
focusing on entropy and complexity calculations and on algorithms for the
numerical generation of tailored random graphs. I show how these results
can help us increase our understanding of cellular signalling network data.
