1 Ocak 2010 Dergi makalesi Açık Erişim

Turgut, Deniz; Atilgan, Ali Rana; Atilgan, Canan

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/27771</identifier>
  <creators>
    <creator>
      <creatorName>Turgut, Deniz</creatorName>
      <givenName>Deniz</givenName>
      <familyName>Turgut</familyName>
      <affiliation>Sabanci Univ, Fac Engn &amp; Nat Sci, Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Atilgan, Ali Rana</creatorName>
      <givenName>Ali Rana</givenName>
      <familyName>Atilgan</familyName>
      <affiliation>Sabanci Univ, Fac Engn &amp; Nat Sci, Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Atilgan, Canan</creatorName>
      <givenName>Canan</givenName>
      <familyName>Atilgan</familyName>
      <affiliation>Sabanci Univ, Fac Engn &amp; Nat Sci, Istanbul, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Assortative Mixing In Close-Packed Spatial Networks</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2010</publicationYear>
  <dates>
    <date dateType="Issued">2010-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/27771</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1371/journal.pone.0015551</relatedIdentifier>
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  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">Background: In recent years, there is aroused interest in expressing complex systems as networks of interacting nodes. Using descriptors from graph theory, it has been possible to classify many diverse systems derived from social and physical sciences alike. In particular, folded proteins as examples of self-assembled complex molecules have also been investigated intensely using these tools. However, we need to develop additional measures to classify different systems, in order to dissect the underlying hierarchy.</description>
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