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A High-Performance Graph Engine for Efficient Social Network Analysis

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dc.contributor.authorJo, Yong-Yeon-
dc.contributor.authorJang, Myung-Hwan-
dc.contributor.authorJung, Hyungsoo-
dc.contributor.authorKim, Sang-Wook-
dc.date.accessioned2022-07-12T00:48:19Z-
dc.date.available2022-07-12T00:48:19Z-
dc.date.created2021-05-13-
dc.date.issued2018-04-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150237-
dc.description.abstractExisting single-machine based graph engines do not leverage the characteristic of social networks following the power-law degree distribution. We propose a new graph engine tailored for processing and analyzing large-scale social networks efficiently by exploiting the power-law degree property-
dc.language영어-
dc.language.isoen-
dc.publisherAssociation for Computing Machinery, Inc-
dc.titleA High-Performance Graph Engine for Efficient Social Network Analysis-
dc.typeArticle-
dc.contributor.affiliatedAuthorJung, Hyungsoo-
dc.contributor.affiliatedAuthorKim, Sang-Wook-
dc.identifier.doi10.1145/3184558.3186929-
dc.identifier.scopusid2-s2.0-85085202049-
dc.identifier.bibliographicCitationThe Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018, pp.61 - 62-
dc.relation.isPartOfThe Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018-
dc.citation.titleThe Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018-
dc.citation.startPage61-
dc.citation.endPage62-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusEngines-
dc.subject.keywordPlusGraph Databases-
dc.subject.keywordPlusWorld Wide Web-
dc.subject.keywordPlusPower law degree distribution-
dc.subject.keywordPlusPower-law-
dc.subject.keywordPlusSingle- machines-
dc.subject.keywordPlusSocial networking (online)-
dc.subject.keywordAuthorbig data-
dc.subject.keywordAuthorgraph processing-
dc.subject.keywordAuthorsocial network-
dc.identifier.urlhttps://dl.acm.org/doi/10.1145/3184558.3186929-
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