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Community Detection and Modularity

In the context of community detection in complex networks, which of the following statements most accurately describes the "resolution limit" inherent in modularity (Q) optimization? Answer Options: A. The resolution limit refers to the inability of the Girvan-Newman algorithm to efficiently recalculate edge betweenness in large-scale networks, thus preventing its practical application. B. The resolution limit refers exclusively to divisive methods, indicating that iterative edge removal always fragments the network into individual components before a maximum of modularity can be achieved. C. The resolution limit is an artifact of the configuration model used in the modularity formula, causing the method to fail to detect small communities, even if they are strongly internally connected (such as cliques), favoring their merging into larger communities to maximize the overall Q. D. The resolution limitation states that modularity (Q) will always assign a negative value to any ...

The Elegance of Optimization: The Reduced Cost Criterion in Flow Problems

In the context of a Minimum Cost Flow (MCF) problem, and assuming that a feasible flow \(x\) has been found, the optimization criterion of a reduced-cost algorithm \(\overline{c_{ij}}\) establishes a necessary and sufficient condition for this flow \(x\) to be optimal.

Which of the following conditions is true for an optimal feasible flow \(x\) with respect to the reduced cost \(\overline{c_{ij}}\)​ of an arc \(i,j\) in the residual graph \(G_x\)​?

Answer Options:

A. For every arc \(i,j\) in the residual graph \(G_x\)​, the reduced cost \(\overline{c_{ij}}\) \(=\) \(c_{ij}\) \(+\) \(\pi_{i}\) \(-\) \(\pi_{j}\) must be strictly positive \(\overline{c_{ij}}\)​ \(\gt 0\), where \(\pi\) is the dual potential function.

B. The flow \(x\) is optimal if and only if the residual graph \(G_x\)​ contains at least one strictly negative cost cycle.

C. For every edge \(i,j\) in the residual graph \(G_x\)​, the reduced cost \(\overline{c_{ij}}\) must be nonnegative (\(\overline{c_{ij}}\) \(\ge\) \(0\).

D. The flow \(x\) is optimal if and only if the value of the flow of \(x\) is equal to the capacity of any cut \(S,T\) of the original graph \(G\).

E. None of the above

Original idea by: Juan Jose Rodriguez Rodriguez



Comentários

  1. Oi Juan José, bela questão, mas não falamos sobre dual potential function. Acho que não dá pra colocar esta questão no blog.

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