Oxford University Press / Cambridge University Press / Academic Press / Elsevier Ltd. / Carlsberg / Frank S.A. / Interface / Wellcome Trust / Kendall / Molecular Biosciences / H.B. and Hirsh A.E. / John Wiley & Sons / /
Country
United Kingdom / Denmark / / /
Facility
University of Aarhus / Imperial College / UK Institute / Simple building / /
IndustryTerm
power-law degree distribution / technological and social networks / machinery underlying complex phenotypes / protein interaction networks / power law-like degree distribution / statistical tools / classical random networks / biological networks / infinite network / protein products / interaction networks / larger network / machinery / gene regulatory networks / Scale-free network / suitable statistical tools / Power law / observed power law exponents / metabolic networks / online publications / metabolic network / food / power law degree distribution / /
Organization
Bioinformatics Research Centre / Cambridge University / University of Aarhus / Institute for Mathematical Sciences / Division of Molecular Biosciences / Imperial College London / V (red) / Oxford University / /
Person
Nat / Suhail Islam / /
Position
considerable statistical chalCorresponding author / model for link dynamics and gene duplications / mechanistic model of network evolution / /
doi:j.tree