Title
A branch-and-cut algorithm for the maximum k-balanced subgraph of a signed graph.
Abstract
We are interested in the solution of the maximumk-balanced subgraph problem. Let G=(V,E,s) be a signed graph and k a positive scalar. A signed graph is k-balanced if V can be partitioned into at most k sets in such a way that positive edges are found only within the sets and negative edges go between sets. The maximum k-balanced subgraph problem is the problem of finding a subgraph of G that is k-balanced and maximum according to the number of vertices. This problem has applications in clustering problems appearing in collaborative vs conflicting environments. The particular case k=2 yields the problem of finding a maximum balanced subgraph in a signed graph and its exact solution has been addressed before in the literature. In this paper, we provide a representatives formulation for the general problem and present a partial description of the associated polytope, including the introduction of strengthening families of valid inequalities. A branch-and-cut algorithm is described for finding an optimal solution to the problem. An ILS metaheuristic is implemented for providing primal bounds for this exact method and a branching rule strategy is proposed for the representatives formulation. Computational experiments, carried out over a set of random instances and on a set of instances from an application, show the effectiveness of the valid inequalities and strategies adopted in this work.
Year
DOI
Venue
2019
10.1016/j.dam.2018.11.022
Discrete Applied Mathematics
Keywords
Field
DocType
Signed graph,Balanced graph,Graph partition,Integer programming,Social networks
Discrete mathematics,Combinatorics,Signed graph,Vertex (geometry),Branch and cut,Algorithm,Polytope,Integer programming,Cluster analysis,Graph partition,Mathematics,Metaheuristic
Journal
Volume
ISSN
Citations 
261
0166-218X
0
PageRank 
References 
Authors
0.34
19
3
Name
Order
Citations
PageRank
Rosa M. V. Figueiredo1539.43
Yuri Frota210513.98
M. Labbé3363.98