Flexi-clique: Exploring Flexible and Sub-linear Clique Structures

Identifying cohesive subgraphs within networks is a fundamental problem in graph theory, relevant to various domains. The traditional clique problem, which finds fully connected subgraphs, often faces limitations due to its strict connectivity requirements. This paper introduces a novel degree-based relaxation model called Flexi-clique, where the degree constraint is adjusted sub-linearly based on the subgraph size. We establish that the maximum Flexi-clique problem is NP-hard and propose an efficient and effective peeling algorithm to address it. Our extensive experimental evaluation of real-world datasets demonstrates the effectiveness and efficiency of our approach in discovering large, cohesive subgraphs in networks.

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Publication Details

Published
2024-10-20
DOI
https://doi.org/10.1145/3627673.3679927
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
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article

Flexi-clique: Exploring Flexible and Sub-linear Clique Structures

Song Lim Kim, Junghoon Kim, Susik Yoon, Jungeun Kim
Human Mobility and Location-Based Analysis
article

Flexi-clique: Exploring Flexible and Sub-linear Clique Structures

Song Lim Kim, Junghoon Kim, Susik Yoon, Jungeun Kim
article en

Abstract

Identifying cohesive subgraphs within networks is a fundamental problem in graph theory, relevant to various domains. The traditional clique problem, which finds fully connected subgraphs, often faces limitations due to its strict connectivity requirements. This paper introduces a novel degree-based relaxation model called Flexi-clique, where the degree constraint is adjusted sub-linearly based on the subgraph size. We establish that the maximum Flexi-clique problem is NP-hard and propose an efficient and effective peeling algorithm to address it. Our extensive experimental evaluation of real-world datasets demonstrates the effectiveness and efficiency of our approach in discovering large, cohesive subgraphs in networks.

Inha University (KR), Korea University (KR), Ulsan National Institute of Science and Technology (KR)
Openalex Percentile: Top 85%
Human Mobility and Location-Based Analysis
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