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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 be an undirected graph and let be a subgraph of . Then the ''density'' of is defined to be . 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 subgraph== There are many variations on the densest subgraph problem. One of them is the densest subgraph problem, where the objective is to find the maximum density subgraph on exactly vertices. This problem generalizes the clique problem and is thus NP-hard in general graphs. There exists a polynomial algorithm approximating the densest subgraph within a ratio of for every ,〔http://dl.acm.org/citation.cfm?id=1806719〕 while it does not admit PTAS unless .〔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〕).
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