  In network analysis, many community detection algorithms have been developed,
however, their implementation leaves unaddressed the question of the
statistical validation of the results. Here we present robin(ROBustness In
Network), an R package to assess the robustness of the community structure of a
network found by one or more methods to give indications about their
reliability. The procedure initially detects if the community structure found
by a set of algorithms is statistically significant and then compares two
selected detection algorithms on the same graph to choose the one that better
fits the network of interest. We demonstrate the use of our package on the
American College Football benchmark dataset.
