Evaluation is persuasive only when the measured outcome corresponds to the construct claimed by the study and the comparison answers the stated research question. This structured evidence review evaluates "A modified connectivity link addition strategy to improve the resilience of multiplex networks against attacks" alongside nine author-disjoint, topically matched publications in network resilience engineering. It compares construct definitions, evaluation choices, operating assumptions, and reported limitations instead of treating bibliographic similarity as empirical equivalence. Viewed through evaluation design and construct validity, the map separates claims supported by the available record from questions that still require full-text extraction, replication, or new experiments. The synthesis is interpretive rather than meta-analytic and therefore does not present a pooled effect estimate or a new causal result. The resulting agenda aligns claims, outcomes, comparators, sampling, and uncertainty before any performance estimate is interpreted.
- Fan, D., Sun, B., Dui, H., Zhong, J., Wang, Z., Ren, Y., & Wang, Z. (2022). A modified connectivity link addition strategy to improve the resilience of multiplex networks against attacks. Reliability Engineering & System Safety, 221, 108294. https://doi.org/10.1016/j.ress.2021.108294 DOI
- Ather, S., & Gordon, R. (2026). Ruliological Resilience: Pattern Restoration and Robustness in Wolfram Patterns. A Basis for Regeneration, Not Just in Cone Shells? . . https://doi.org/10.2139/ssrn.6353305 DOI
- Hamouda, E., Elhafsi, M., & Son, J. (2024). Securing Network Resilience Leveraging Node Centrality for Cyberattack Mitigation and Robustness Enhancement. . https://doi.org/10.2139/ssrn.4742325 DOI
- Huang, B., & Xiangqiao, K. (2025). Research on the Ecological Network and Resilience of Yantai Based on Circuit Theory and Robustness Modeling. . https://doi.org/10.2139/ssrn.5338621 DOI
- Dong, G., Duan, D., & Xia, Y. (2022). Editorial: Network resilience and robustness: Theory and applications. Frontiers in Physics, 10. https://doi.org/10.3389/fphy.2022.972037 DOI
- Dragicevic, A.-Z. (2016). From robustness to resilience: A network Price identity approach. Ecological Complexity, 28, 47-53. https://doi.org/10.1016/j.ecocom.2016.10.002 DOI
- Santonastaso, G.-F., Di Nardo, A., & Greco, R. (2022). Exploring Entropy and Resilience as Surrogate Indices of Water Network Robustness in PDA Approach. EWaS5 International Conference: “Water Security and Safety Management: Emerging Threats or New Challenges? Moving from Therapy and Restoration to Prognosis and Prevention”, 19. https://doi.org/10.3390/environsciproc2022021019 DOI
- Curran, R. (2026). Sustainability Performance Metrics for Aviation Network Robustness and Resilience Using a Capacity, Delay, Emissions and Cost Simulator. AIAA AVIATION 2026 Forum. https://doi.org/10.2514/6.2026-4198 DOI
- Guan, G., Zhang, J., Wang, Y., & Gong, Y. (2025). Reliability, Robustness, Resilience and Vulnerability of transportation network studies: A bibliometric analysis and Outlook into the Future. . https://doi.org/10.21203/rs.3.rs-7427512/v1 DOI
- Almoghathawi, Y. (2021). Optimal Restoration of Community Structures for Enhancing Interdependent Infrastructure Network Resilience. Proceedings of the International Conference on Industrial Engineering and Operations Management. https://doi.org/10.46254/an11.20210012 DOI
- Journal
- Convergence in Science and Society
- Volume
- 1 (2026)
- Article number
- css20260006
- License
- CC BY 4.0