Improving the core resilience of real-world hypergraphs

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Interactions that involve a group of people or objects are omnipresent in practice. Some examples include the list of recipients of an email, the group of co-authors of a publication, and the users participating in online discussion threads. These interactions are modeled as hypergraphs in which each hyperedge is a set of nodes constituting an interaction. In a hypergraph, the k-core is the sub-hypergraph within which the degree of each node is at least k. Investigating the k-core structures is valuable in revealing some properties of the hypergraph, one of which is the network behavior when facing attacks. Networks in practice are often prone to attacks by which the attacker removes a portion of the nodes or hyperedges to weaken some properties of the networks. The resilience of the k-cores is an indicator of the robustness of the network against such attacks. In this work, we investigate the core resilience of real-world hypergraphs against deletion attacks. How robust are the core structures of real-world hypergraphs in these attack scenarios? Given the complexity of a real-world hypergraph, how should we supplement the hypergraph with augmented hyperedges to enhance its core resilience? In light of several empirical observations regarding core resilience, we present a two-step method that preserves and strengthens the core structures of the hypergraphs.
Publisher
SPRINGER
Issue Date
2023-11
Language
English
Article Type
Article
Citation

DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2438 - 2493

ISSN
1384-5810
DOI
10.1007/s10618-023-00958-0
URI
http://hdl.handle.net/10203/313759
Appears in Collection
AI-Journal Papers(저널논문)
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