Complexity of finding dense subgraphs

被引:79
|
作者
Asahiro, Y [1 ]
Hassin, R
Iwama, K
机构
[1] Kyushu Univ, Dept Comp Sci & Commun Engn, Fukuoka 8128581, Japan
[2] Tel Aviv Univ, Dept Stat & Operat Res, IL-69978 Tel Aviv, Israel
[3] Kyoto Univ, Sch Informat, Kyoto 6068501, Japan
关键词
dense subgraph; regular graph; NP-complete; threshold of complexity;
D O I
10.1016/S0166-218X(01)00243-8
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The k-f (k) dense subgraph problem((k, f (k))-DSP) asks whether there is a k-vertex subgraph of a given graph G which has at least f (k) edges. When f (k) = k(k - 1)/2, (k, f (k))-DSP is equivalent to the well-known k-clique problem. The main purpose of this paper is to discuss the problem of finding slightly dense subgraphs. Note that f(k) is about k(2) for the k-clique problem. It is shown that (k, f (k))-DSP remains NP-complete for f (k) = Theta(k(1-epsilon)) where epsilon may be any constant such that 0 < epsilon < 1. It is also NP-complete for "relatively" slightly-dense subgraphs, i.e., (k, f(k))-DSP is NP-complete for f(k) = ek(2)/v(2)(1 +O(v(epsilon-1))), where v is the number of G's vertices and e is the number of G's edges. This condition is quite tight because the answer to (k, f (k))-DSP is always yes for f (k) = ek(2/)v(2) (1 - (v - k)/(vk - k)) that is the average number of edges in a subgraph of k vertices. Also, we show that the hardness of (k, f(k))-DSP remains for regular graphs: (k, f (k))-DSP is NP-complete for Theta(v(epsilon))-regular graphs if f (k) = Theta(k(1+epsilon2)) for any 0 < epsilon(1), epsilon(2) < 1. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:15 / 26
页数:12
相关论文
共 50 条
  • [31] Complexity of Finding Maximum Locally Irregular Induced Subgraphs 1
    Fioravantes, Foivos
    Melissinos, Nikolaos
    Triommatis, Theofilos
    SSRN, 2023,
  • [32] The Complexity of Finding and Enumerating Optimal Subgraphs to Represent Spatial Correlation
    Enright, Jessica
    Lee, Duncan
    Meeks, Kitty
    Pettersson, William
    Sylvester, John
    ALGORITHMICA, 2024, 86 (10) : 3186 - 3230
  • [33] Finding Dense Subgraphs via Low-Rank Bilinear Optimization
    Papailiopoulos, Dimitris S.
    Mitliagkas, Ioannis
    Dimakis, Alexandros G.
    Caramanis, Constantine
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 32 (CYCLE 2), 2014, 32 : 1890 - 1898
  • [34] Parameterized Complexity of Finding Subgraphs with Hereditary Properties on Hereditary Graph Classes
    Eppstein, David
    Gupta, Siddharth
    Havvaei, Elham
    FUNDAMENTALS OF COMPUTATION THEORY, FCT 2021, 2021, 12867 : 217 - 229
  • [35] The complexity of finding subgraphs whose matching number equals the vertex cover number
    Mishra, Sounaka
    Raman, Venkatesh
    Saurabh, Saket
    Sikdar, Somnath
    Subramanian, C. R.
    ALGORITHMS AND COMPUTATION, 2007, 4835 : 268 - +
  • [36] ALGORITHM FOR FINDING ALL MAXIMAL COMPLETE SUBGRAPHS AND AN ESTIMATE OF THE ORDER OF COMPUTATIONAL COMPLEXITY
    DAS, SR
    SHENG, CL
    CHEN, Z
    COMPUTERS & ELECTRICAL ENGINEERING, 1978, 5 (04) : 365 - 368
  • [37] DENSE INDUCED SUBGRAPHS OF DENSE BIPARTITE GRAPHS
    McCarty, Rose
    SIAM JOURNAL ON DISCRETE MATHEMATICS, 2021, 35 (02) : 661 - 667
  • [38] Exact MIP-based approaches for finding maximum quasi-cliques and dense subgraphs
    Veremyev, Alexander
    Prokopyev, Oleg A.
    Butenko, Sergiy
    Pasiliao, Eduardo L.
    COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2016, 64 (01) : 177 - 214
  • [39] Dense Subgraphs on Dynamic Networks
    Das Sarma, Atish
    Lall, Ashwin
    Nanongkai, Danupon
    Trehan, Amitabh
    DISTRIBUTED COMPUTING, DISC 2012, 2012, 7611 : 151 - 165
  • [40] A DECOMPOSITION OF A GRAPH INTO DENSE SUBGRAPHS
    TOIDA, S
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1985, 32 (06): : 583 - 589