The Synergistic Effects of Structural Evolution and Attack Strategies on Network Matching Robustness.

Xu Na, Junying Cui, Chang Su, Shimin Cai, Linyuan Lü

Abstract read

In one paragraph

Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xu NaInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0003-4038-1410

Junying CuiDepartment of Physics, University of Fribourg, 1700 Fribourg, Switzerland.ORCID 0009-0006-0307-5800

Chang SuInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0009-0006-1895-9000

Shimin CaiSchool of Computer Science and Engineering (School of Cyber Security), University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0002-2089-5150

Linyuan LüSchool of Cyber Science and Technology, University of Science and Technology of China, Hefei 230026, China.ORCID 0000-0002-2156-0432

Funding

National Natural Science Foundation of China 62306191National Natural Science Foundation of China T2293771STI 2030-Major Projects 2022ZD0211400

6 · The paper itself

Abstract

Research on network robustness has long focused on changes in the structure connectivity of networks under attacks, effectively depicting structural integrity while ignoring the exploration of functional integrity. When the core path of the network is attacked, even if it remains connected, the rapid increase in energy consumption may still trigger systematic risks. Existing studies mainly use random networks and scale-free networks as comparative models, which has become a classic research paradigm. However, real-world networks often exhibit mixed topological features. To address the above issues, this paper introduces the concept of energy from physics into bipartite networks and establishes an evaluation framework for assessing the synergistic effects of structural evolution and attack strategies on network matching robustness. We first introduce a structural parameter

Indexed as

attack strategiesmatching energymatching robustnessstructural evolution

Identifiers

PMID40870319

DOI10.3390/e27080847

PMCPMC12385494

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