RT Journal Article
SR Electronic
T1 Exact probabilities for the indeterminacy of complex networks as perceived through press perturbations
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 083089
DO 10.1101/083089
A1 David Koslicki
A1 Mark Novak
YR 2016
UL http://biorxiv.org/content/early/2016/10/25/083089.abstract
AB We consider the goal of predicting how complex networks respond to chronic (press) perturbations when characterizations of their network topology and interaction strengths are associated with uncertainty. Our primary result is the derivation of exact formulas for the expected number and probability of qualitatively incorrect predictions about a system’s responses under uncertainties drawn form arbitrary distributions of error. These formulas obviate the current use of simulations, algorithms, and qualitative modeling techniques. Additional indices provide new tools for identifying which links in a network are most qualitatively and quantitatively sensitive to error, and for determining the volume of errors within which predictions will remain qualitatively determinate (i.e. sign insensitive). Together with recent advances in the empirical characterization of uncertainty in ecological networks, these tools bridge a way towards probabilistic predictions of network dynamics.