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Dense subgraph : ウィキペディア英語版
Dense subgraph

In computer science the notion of highly connected subgraphs appears frequently. This notion can be formalized as follows. Let G=(E,V) be an undirected graph and let S=(E_S,V_S) be a subgraph of G . Then the ''density'' of S is defined to be d(S) = .
The densest subgraph problem is that of finding a subgraph of maximum density. In 1984, Andrew V. Goldberg developed a polynomial time algorithm to find the maximum density subgraph using a max flow technique.
==Densest k subgraph==
There are many variations on the densest subgraph problem. One of them is the densest k subgraph problem, where the objective is to find the maximum density subgraph on exactly k vertices. This problem generalizes the clique problem and is thus NP-hard in general graphs. There exists a polynomial algorithm approximating the densest k subgraph within a ratio of n^ for every \epsilon > 0,〔http://dl.acm.org/citation.cfm?id=1806719〕 while it does not admit PTAS unless NP \subseteq \bigcap_ BPTIME(2^).〔http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.3324〕 The problem remains NP-hard in bipartite graphs and chordal graphs but is polynomial for trees and split graphs. It is open whether the problem is NP-hard or polynomial in (proper) interval graphs and planar graphs (notice that the connected version of the problem remains NP-hard in planar graphs 〔https://cs.uwaterloo.ca/~brecht/papers/jcmcc-1991.pdf〕).

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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