… Many complex networks exhibit a modular structure of densely connected groups of nodes.
… We use weighted benchmark networks [42] to test whether weighted sampling speeds up …

… Stability approach is the systematic sweeping through all time scales, fast to slow, in order
to … Unfolding the multiscale community structure of a hierarchical network as a function of …

… complex networks modeling real-world phenomena are characterized by striking properties:
(i) they are organized according to community … that they naturally unfold through time: social …

… , variational Expectation-Maximization algorithm or Gibbs sampling, can be applied to resolve
… in fast unfolding algorithm [38]. Optimization, model-based methods and divisive methods …

… in a fast and memory-… all samples for each algorithm is computed using the four algorithms
detailed in Table 1. For each algorithm, we compute activations 50 times using 3200 samples. …

… For instance, dead ends (stations having few connections) which might be influenced by
sampling size whereas stations connecting two communities are hybrid nodes hence play an …

… 5) to make accurate predictions on a complex network. … interacts with a fair sample of the
overall community, eg, when … the adaptive aspects of the unfolded protein response such as …

… event are chosen through a sample biased by the reciprocal of community sizes, giving …
and it is proven to be fast and scalable on large-scale networks. The modularity optimization is …

… It is different from the traditional community … social network. Accord to the theory above, we
designed the RWS (Random Walk Sampling) method to detect the overlapping communities, …

… In the following, we unfold different aims underpinning community … time inside a community
corresponding to the fast time-scale, … the complex architecture of the network, and sampling …