Max‐ and Min‐Neighborhood Monopolies

Max‐ and Min‐Neighborhood Monopolies

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Article ID: iaor20121122
Volume: 34
Issue: 3
Start Page Number: 240
End Page Number: 260
Publication Date: Nov 2002
Journal: Algorithmica
Authors: , ,
Keywords: heuristics: local search, optimization
Abstract:

Given a graph G=(V,E) and a set of vertices MV, a vertex v ∈ V is said to be controlled by M if the majority of v’s neighbors (including itself) belong to M. M is called a monopoly in G if every vertex v∈ V is controlled by M. For a specified M and a given range for edge set E (E 1EE 2), we try to determine an E such that M is a monopoly in G=(V,E). We first present a polynomial algorithm for testing if such an E exists, by formulating it as a network flow problem. Assuming that a solution for E does exist, we then show that solutions with the maximum and minimum |E| , respectively, can be found in polynomial time, by solving weighted matching problems. In case there is no solution for E, we want to maximize the number of vertices controlled by the given M. Unfortunately, this problem turns out to be NP‐hard. We, therefore, design a simple approximation algorithm which guarantees an approximation ratio of 2.

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