File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Fully Dynamic Approximate k-Core Decomposition in Hypergraphs

TitleFully Dynamic Approximate k-Core Decomposition in Hypergraphs
Authors
KeywordsCore values
dynamic network
hypergraphs
Issue Date2020
PublisherAssociation for Computing Machinery, Inc. The Journal's web site is located at http://tkdd.cs.uiuc.edu
Citation
ACM Transactions on Knowledge Discovery from Data, 2020, v. 14 n. 4, p. article no. 39 How to Cite?
AbstractIn this article, we design algorithms to maintain approximate core values in dynamic hypergraphs. This notion has been well studied for normal graphs in both static and dynamic setting. We generalize the problem to hypergraphs when edges can be inserted or deleted by an adversary. We consider two dynamic scenarios. In the first case, there are only insertions; and in the second case, there can be both insertions and deletions. In either case, the update time is poly-logarithmic in the number of nodes, with the insertion-only case boasting a better approximation ratio. We also perform extensive experiments on large real-world datasets, which demonstrate the accuracy and efficiency of our algorithms.
Persistent Identifierhttp://hdl.handle.net/10722/290739
ISSN
2023 Impact Factor: 4.0
2023 SCImago Journal Rankings: 1.303
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSUN, B-
dc.contributor.authorChan, TH-
dc.contributor.authorSozio, M-
dc.date.accessioned2020-11-02T05:46:26Z-
dc.date.available2020-11-02T05:46:26Z-
dc.date.issued2020-
dc.identifier.citationACM Transactions on Knowledge Discovery from Data, 2020, v. 14 n. 4, p. article no. 39-
dc.identifier.issn1556-4681-
dc.identifier.urihttp://hdl.handle.net/10722/290739-
dc.description.abstractIn this article, we design algorithms to maintain approximate core values in dynamic hypergraphs. This notion has been well studied for normal graphs in both static and dynamic setting. We generalize the problem to hypergraphs when edges can be inserted or deleted by an adversary. We consider two dynamic scenarios. In the first case, there are only insertions; and in the second case, there can be both insertions and deletions. In either case, the update time is poly-logarithmic in the number of nodes, with the insertion-only case boasting a better approximation ratio. We also perform extensive experiments on large real-world datasets, which demonstrate the accuracy and efficiency of our algorithms.-
dc.languageeng-
dc.publisherAssociation for Computing Machinery, Inc. The Journal's web site is located at http://tkdd.cs.uiuc.edu-
dc.relation.ispartofACM Transactions on Knowledge Discovery from Data-
dc.rightsACM Transactions on Knowledge Discovery from Data. Copyright © Association for Computing Machinery, Inc.-
dc.rights©ACM, YYYY. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in PUBLICATION, {VOL#, ISS#, (DATE)} http://doi.acm.org/10.1145/nnnnnn.nnnnnn-
dc.subjectCore values-
dc.subjectdynamic network-
dc.subjecthypergraphs-
dc.titleFully Dynamic Approximate k-Core Decomposition in Hypergraphs-
dc.typeArticle-
dc.identifier.emailChan, TH: hubert@cs.hku.hk-
dc.identifier.authorityChan, TH=rp01312-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1145/3385416-
dc.identifier.scopuseid_2-s2.0-85088451713-
dc.identifier.hkuros318367-
dc.identifier.volume14-
dc.identifier.issue4-
dc.identifier.spagearticle no. 39-
dc.identifier.epagearticle no. 39-
dc.identifier.isiWOS:000583626600002-
dc.publisher.placeUnited States-
dc.identifier.issnl1556-4681-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats