Eigenvector Centrality: Illustrations Supporting the Utility of Extracting More Than One Eigenvector to Obtain Additional Insights into Networks and Interdependent Structures. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Dawn_Iacobucci>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Deidre_L._Popovich>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Rebecca_McBride>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.21307%2Fjoss-2018-003>
foaf:homepage	<https://doi.org/10.21307/joss-2018-003>
dc:identifier	DBLP journals/joss/IacobucciMP17 (xsd:string)
dc:identifier	DOI doi.org%2F10.21307%2Fjoss-2018-003 (xsd:string)
dcterms:issued	2017 (xsd:gYear)
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rdfs:label	Eigenvector Centrality: Illustrations Supporting the Utility of Extracting More Than One Eigenvector to Obtain Additional Insights into Networks and Interdependent Structures. (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Dawn_Iacobucci>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Deidre_L._Popovich>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Rebecca_McBride>
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rdfs:seeAlso	<https://doi.org/10.21307/joss-2018-003>
dc:title	Eigenvector Centrality: Illustrations Supporting the Utility of Extracting More Than One Eigenvector to Obtain Additional Insights into Networks and Interdependent Structures. (xsd:string)
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