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    <identifier>10.57760/sciencedb.40895</identifier>
    <datestamp>2026-06-29T15:48:01Z</datestamp>
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  <dc:date>2026-06-29</dc:date>
  <dc:title>Dataset of Network Efficiency Evaluation Under Attack and Recovery Strategies</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.40895</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains the evaluation results of network efficiency of complex networks under different attack and recovery strategies, including 3765 valid pieces of evaluation data. It covers 4 core attack strategies: Random Attack (RA), Calculated Centrality Attack (CCA), Eigenvector Centrality Attack (ECA), and Betweenness Centrality Attack (BCA), multiple sets of attack intensity parameter &amp;delta;, and core indicators such as network average efficiency under multiple time steps. It also includes control data of the baseline no-recovery scenario, which can provide standardized data support for research on network security, complex network robustness analysis, attack and defense strategy optimization.</dc:description>
  <dc:subject>Network Security; Attack Strategy; Recovery Strategy; Network Efficiency; Complex Network; Robustness Evaluation</dc:subject>
  <dc:creator>Zheng Shukang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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