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Data · dataset · 2026

Dataset of Network Efficiency Evaluation Under Attack and Recovery Strategies

Listed in ScienceDB

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.

Description

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 δ, 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.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.408959 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
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