Communities Question
In the context of community detection, the generalized modularity \(M\) of a network with \(L\) links and \(n_c\) communities is given by: \[ M = \sum_{c=1}^{n_c}{\left[ \frac{L_c}{L} - \left( \frac{k_c}{2L} \right)^2 \right]}\] where \(L_c\) is the total number of links within the community \(C_c\) and \(k_c\) is the total degree of the nodes in this community. Considering the following statements: I. Modularity has a resolution limit, as it can't detect communities smaller than a factor proportional to \(\sqrt{2L}\). II. A community \(C_c\) contributes positively to \(M\) only if the fraction of internal links \(\frac{L_c}{L}\) exceeds the expected fraction \(\left(\frac{k_c}{2L}\right)^2\) under a null model that preserves the degree sequence. III. The modularity \(M\) is bounded in the interval \([0,1]\), where \(M = 1\) corresponds to a perfectly modular network. IV. The partition with the maximum modularity \(M\) offers an optimal community structure. It is correct to ...