Department of Brain Sciences
Theoretical and Computational Biophysics Laboratory
1. Journal Articles
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hong, Younghee | - |
| dc.contributor.author | Chang, Iksoo | - |
| dc.contributor.author | Kim, Choongrak | - |
| dc.date.accessioned | 2020-10-26T12:57:45Z | - |
| dc.date.available | 2020-10-26T12:57:45Z | - |
| dc.date.created | 2020-10-08 | - |
| dc.date.issued | 2021-06 | - |
| dc.identifier.issn | 1226-3192 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.11750/12435 | - |
| dc.description.abstract | We propose a definition of hub in complex networks by using the eigenvectors of the Laplacian matrix, and suggest a method of detecting hubs. The proposed definition provides a different concept from the classical measures such as the centrality or degree. Also, a method of determining the number of hubs is suggested using a scree plot. Illustrative examples based on artificial data sets and real data sets are given. © 2020, Korean Statistical Society. | - |
| dc.language | English | - |
| dc.publisher | Springer | - |
| dc.title | Detection of hubs in complex networks by the Laplacian matrix | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1007/s42952-020-00087-0 | - |
| dc.identifier.wosid | 000573739300001 | - |
| dc.identifier.scopusid | 2-s2.0-85091727121 | - |
| dc.identifier.bibliographicCitation | Journal of the Korean Statistical Society, v.50, no.2, pp.431 - 446 | - |
| dc.identifier.kciid | ART002735254 | - |
| dc.description.isOpenAccess | FALSE | - |
| dc.subject.keywordAuthor | Adjacency matrix | - |
| dc.subject.keywordAuthor | Conditional dependency | - |
| dc.subject.keywordAuthor | Eigenvalue | - |
| dc.subject.keywordAuthor | Eigenvector | - |
| dc.subject.keywordPlus | DIMENSIONAL COVARIANCE ESTIMATION | - |
| dc.subject.keywordPlus | LARGEST EIGENVALUE | - |
| dc.subject.keywordPlus | EXPRESSION | - |
| dc.subject.keywordPlus | SELECTION | - |
| dc.subject.keywordPlus | REGRESSION | - |
| dc.subject.keywordPlus | ENSEMBLES | - |
| dc.subject.keywordPlus | RATES | - |
| dc.subject.keywordPlus | MODEL | - |
| dc.citation.endPage | 446 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 431 | - |
| dc.citation.title | Journal of the Korean Statistical Society | - |
| dc.citation.volume | 50 | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.description.journalRegisteredClass | kci_candi | - |
| dc.relation.journalResearchArea | Mathematics | - |
| dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
| dc.type.docType | Article | - |
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