On Finding and Analyzing the Backbone of the k-Core Structure of a Graph

Ricky Laishram, Sucheta Soundarajan

Research output: Chapter in Book/Entry/PoemConference contribution

2 Scopus citations

Abstract

In many network applications, dense subgraphs have proven to be extremely useful. One particular type of dense subgraph known as the k-core has received a great deal of attention. k-cores have been used in a number of important applications, including identifying important nodes, speeding up community detection, network visualization, and others. However, little work has investigated the 'skeletal' structure of the k-core, and the effect of such structures on the properties of the overall k-core and network itself. In this paper, we propose the Skeletal Core Subgraph, which describes the backbone of the k-core structure of a graph. We show how to categorize graphs based on their skeletal cores, and demonstrate how to efficiently decompose a given graph into its Skeletal Core Subgraph. We show both theoretically and experimentally the relationship between the Skeletal Core Subgraph and properties of the graph, including its core resilience.

Original languageEnglish (US)
Title of host publicationProceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022
EditorsXingquan Zhu, Sanjay Ranka, My T. Thai, Takashi Washio, Xindong Wu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1017-1022
Number of pages6
ISBN (Electronic)9781665450997
DOIs
StatePublished - 2022
Event22nd IEEE International Conference on Data Mining, ICDM 2022 - Orlando, United States
Duration: Nov 28 2022Dec 1 2022

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
Volume2022-November
ISSN (Print)1550-4786

Conference

Conference22nd IEEE International Conference on Data Mining, ICDM 2022
Country/TerritoryUnited States
CityOrlando
Period11/28/2212/1/22

Keywords

  • graph
  • k-core
  • structure

ASJC Scopus subject areas

  • General Engineering

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