TY - GEN
T1 - On Finding and Analyzing the Backbone of the k-Core Structure of a Graph
AU - Laishram, Ricky
AU - Soundarajan, Sucheta
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - graph
KW - k-core
KW - structure
UR - http://www.scopus.com/inward/record.url?scp=85147730629&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85147730629&partnerID=8YFLogxK
U2 - 10.1109/ICDM54844.2022.00124
DO - 10.1109/ICDM54844.2022.00124
M3 - Conference contribution
AN - SCOPUS:85147730629
T3 - Proceedings - IEEE International Conference on Data Mining, ICDM
SP - 1017
EP - 1022
BT - Proceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022
A2 - Zhu, Xingquan
A2 - Ranka, Sanjay
A2 - Thai, My T.
A2 - Washio, Takashi
A2 - Wu, Xindong
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE International Conference on Data Mining, ICDM 2022
Y2 - 28 November 2022 through 1 December 2022
ER -