Analyzing Network Privacy Preserving Methods: A Perspective of Social Network Characteristics
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bae, Duck-Ho | - |
dc.contributor.author | Lee, Jong-Min | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.contributor.author | Won, Youngjoon | - |
dc.contributor.author | Park, Yongsu | - |
dc.date.accessioned | 2022-07-16T04:32:30Z | - |
dc.date.available | 2022-07-16T04:32:30Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2014-06 | - |
dc.identifier.issn | 1745-1361 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/159856 | - |
dc.description.abstract | A burst of social network services increases the need for in-depth analysis of network activities. Privacy breach for network participants is a concern in such analysis efforts. This paper investigates structural and property changes via several privacy preserving methods (anonymization) for social network. The anonymized social network does not follow the power-law for node degree distribution as the original network does. The peak-hop for node connectivity increases at most 1 and the clustering coefficient of neighbor nodes shows 6.5 times increases after anonymization. Thus, we observe inconsistency of privacy preserving methods in social network analysis. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG | - |
dc.title | Analyzing Network Privacy Preserving Methods: A Perspective of Social Network Characteristics | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.contributor.affiliatedAuthor | Won, Youngjoon | - |
dc.contributor.affiliatedAuthor | Park, Yongsu | - |
dc.identifier.doi | 10.1587/transinf.E97.D.1664 | - |
dc.identifier.scopusid | 2-s2.0-84901768215 | - |
dc.identifier.wosid | 000342784300033 | - |
dc.identifier.bibliographicCitation | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E97D, no.6, pp.1664 - 1667 | - |
dc.relation.isPartOf | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | - |
dc.citation.title | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | - |
dc.citation.volume | E97D | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1664 | - |
dc.citation.endPage | 1667 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.subject.keywordPlus | Social networking(online) | - |
dc.subject.keywordAuthor | network privacy preserving | - |
dc.subject.keywordAuthor | privacy breach | - |
dc.subject.keywordAuthor | structural disparity | - |
dc.identifier.url | https://www.jstage.jst.go.jp/article/transinf/E97.D/6/E97.D_1664/_article | - |
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