Fully Generalized Graph Cores

  • Alexandre P. Francisco
  • Arlindo L. Oliveira
Part of the Communications in Computer and Information Science book series (CCIS, volume 116)

Abstract

A core in a graph is usually taken as a set of highly connected vertices. Although general, this definition is intuitive and useful for studying the structure of many real networks. Nevertheless, depending on the problem, different formulations of graph core may be required, leading us to the known concept of generalized core. In this paper we study and further extend the notion of generalized core. Given a graph, we propose a definition of graph core based on a subset of its subgraphs and on a subgraph property function. Our approach generalizes several notions of graph core proposed independently in the literature, introducing a general and theoretical sound framework for the study of fully generalized graph cores. Moreover, we discuss emerging applications of graph cores, such as improved graph clustering methods and complex network motif detection.

Keywords

Generalize Core Weighted Graph Property Function Maximal Clique Network Motif 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Alexandre P. Francisco
    • 1
  • Arlindo L. Oliveira
    • 1
  1. 1.INESC-ID / CSE DeptIST, Tech Univ of LisbonLisboaPortugal

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