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 say that:
A) Only I and II are correct.
B) I, III and IV are correct.
C) I, II and IV are correct.
D) Only I and IV are correct.
E) None of the above
Original idea by: Carlos Trindade
Nice question, but I'm afraid statement IV is not right or wrong. It depends on the acceptance of a hypothesis.
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