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

被引:2
|
作者
Laishram, Ricky [1 ]
Soundarajan, Sucheta [1 ]
机构
[1] Syracuse Univ, Syracuse, NY 13244 USA
来源
2022 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM) | 2022年
关键词
graph; k-core; structure;
D O I
10.1109/ICDM54844.2022.00124
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:1017 / 1022
页数:6
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