Network users who have access to the network’s most informative node, as quantified by a novel index, the InfoRank, have a competitive edge.
We present a new way of finding communities in networks that change over time.
A new tool derived from information theory quantitatively identifies trees, hierarchies and community structures within complex networks.
Quantifying noise in mass spectrometry and yeast two-hybrid protein interaction detection experiments
Protein detection experiments seek to measure for each pair of protein species whether they interact in any complex.
Short loops (cycles) in real networks are a theoretical challenge for modeling.
Infrastructure networks are very well engineered systems characterized by fluxes of commodities, from electric power to drinking water.
New mathematical tools can help infer financial networks from partial data to understand the propagation of distress through the network.
A statistical procedure identifies dominant edges within weighted networks to determine whether a network has reached its steady state.
A snapshot of the bipartite network for the most important countries; size of vertices is the fitness and the complexity