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Computational Complexities of Optimization Problems Related to Model-Based Clustering of Networks

In: Optimization in Science and Engineering

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  • Bhaskar DasGupta

    (University of Illinois at Chicago, Department of Computer Science)

Abstract

An extremely popular model-based graph partitioning approach that is used for both biological and social networks is the so-called modularity optimization approach originally proposed by Newman and its variations. In this chapter, we review several combinatorial and algebraic methods that have been used in the literature to study the computational complexities of these optimization problems.

Suggested Citation

  • Bhaskar DasGupta, 2014. "Computational Complexities of Optimization Problems Related to Model-Based Clustering of Networks," Springer Books, in: Themistocles M. Rassias & Christodoulos A. Floudas & Sergiy Butenko (ed.), Optimization in Science and Engineering, edition 127, pages 97-113, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4939-0808-0_5
    DOI: 10.1007/978-1-4939-0808-0_5
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