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               <mods:name>
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                  <mods:namePart>Serrano Moral, Ma. Ángeles (María Ángeles)</mods:namePart>
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                  <mods:namePart>Boguñá, Marián</mods:namePart>
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                  <mods:dateIssued encoding="iso8601">2010-07-05T10:13:14Z2010-07-05T10:13:14Z2006</mods:dateIssued>
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               <mods:abstract>We develop a theoretical approach to percolation in random clustered networks. We find that, although clustering in scale-free networks can strongly affect some percolation properties, such as the size and the resilience of the giant connected component, it cannot restore a finite percolation threshold. In turn, this implies the absence of an epidemic threshold in this class of networks, thus extending this result to a wide variety of real scale-free networks which shows a high level of transitivity. Our findings are in good agreement with numerical simulations.</mods:abstract>
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               <mods:accessCondition type="useAndReproduction">(c) American Physical Society, 2006 info:eu-repo/semantics/openAccess</mods:accessCondition>
               <mods:subject>
                  <mods:topic>Física estadística</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Percolació (Física estadística)</mods:topic>
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               <mods:subject>
                  <mods:topic>Statistical physics</mods:topic>
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               <mods:subject>
                  <mods:topic>Percolation (Statistical physics)</mods:topic>
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               <mods:titleInfo>
                  <mods:title>Percolation and epidemic thresholds in clustered networks</mods:title>
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