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Spectral analysis of a blogosphere

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dc.contributor.authorKim, Sang-Wook-
dc.contributor.authorKim, Ki-Nam-
dc.contributor.authorFaloutsos, Christos-
dc.contributor.authorLee, Joon-Ho-
dc.date.accessioned2022-07-16T18:59:09Z-
dc.date.available2022-07-16T18:59:09Z-
dc.date.created2021-05-11-
dc.date.issued2011-10-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/167537-
dc.description.abstractA blogosphere is a representative example of online social networks. In this paper, we address spectral analysis of a blogosphere. We model a real-world blogosphere as a matrix and a tensor, and then analyze it by using the SVD and PARAFAC decomposition. According to the results, the SVD successfully identified communities, each of which focuses on a specific topic, and also found hub blogs and authoritative posts within each community. The PARAFAC decomposition also succeeded in extracting more communities of finer granules than the SVD. Also, the PARAFAC decomposition could identify the dominant keywords in addition to the hub blogs and authoritative posts honored in each community. ? 2011 ACM.-
dc.language영어-
dc.language.isoen-
dc.publisherAssociation for Computing Machinary, Inc.-
dc.titleSpectral analysis of a blogosphere-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Sang-Wook-
dc.identifier.doi10.1145/2063576.2063912-
dc.identifier.scopusid2-s2.0-83055186779-
dc.identifier.bibliographicCitationInternational Conference on Information and Knowledge Management, Proceedings, pp.2145 - 2148-
dc.relation.isPartOfInternational Conference on Information and Knowledge Management, Proceedings-
dc.citation.titleInternational Conference on Information and Knowledge Management, Proceedings-
dc.citation.startPage2145-
dc.citation.endPage2148-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusBlogospheres-
dc.subject.keywordPlusmatrix-
dc.subject.keywordPlusMatrix factorizations-
dc.subject.keywordPlusOnline social networks-
dc.subject.keywordPlusPARAFAC decomposition-
dc.subject.keywordPlustensor factorization-
dc.subject.keywordPlusFactorization-
dc.subject.keywordPlusKnowledge management-
dc.subject.keywordPlusMatrix algebra-
dc.subject.keywordPlusSingular value decomposition-
dc.subject.keywordPlusSocial networking (online)-
dc.subject.keywordPlusSpectrum analysis-
dc.subject.keywordPlusTensors-
dc.subject.keywordPlusBlogs-
dc.subject.keywordAuthorblogosphere-
dc.subject.keywordAuthormatrix factorization-
dc.subject.keywordAuthorparafac decomposition-
dc.subject.keywordAuthorsvd-
dc.subject.keywordAuthortensor factorization-
dc.identifier.urlhttps://dl.acm.org/doi/10.1145/2063576.2063912-
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