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Improved approximation algorithms for the maximum happy vertices and edges problems

  • Peng Zhang*
  • , Tao Jiang
  • , Angsheng Li
  • *Corresponding author for this work
  • Shandong University
  • University of California at Riverside
  • Tsinghua University
  • CAS - Institute of Software

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The Maximum Happy Vertices (MHV) problem and the Maximum Happy Edges (MHE) problem are two fundamental problems arising in the study of the homophyly phenomenon in large scale networks. Both of these two problems are NP-hard. Interestingly, the MHE problem is a natural generalization of Multiway Uncut, the complement of the classic Multiway Cut problem. In this paper, we present new approximation algorithms for MHV and MHE based on randomized LP-rounding techniques. Specifically, we show that MHV can be approximated within 1/Δ+1, where Δ is the maximum vertex degree, and MHE can be approximated within 1/2 + √2/4 f(k) ≥ 0.8535, where f(k) ≥ 1 is a function of the color number k. These results improve on the previous approximation ratios for MHV, MHE as well as Multiway Uncut in the literature.

Original languageEnglish
Title of host publicationComputing and Combinatorics - 21st International Conference, COCOON 2015, Proceedings
EditorsDachuan Xu, Donglei Du, Dingzhu Du
PublisherSpringer Verlag
Pages159-170
Number of pages12
ISBN (Print)9783319213972
DOIs
StatePublished - 2015
Externally publishedYes
Event21st International Conference on Computing and Combinatorics Conference, COCOON 2015 - Beijing, China
Duration: 4 Aug 20156 Aug 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9198
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Computing and Combinatorics Conference, COCOON 2015
Country/TerritoryChina
CityBeijing
Period4/08/156/08/15

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