Network Science: Understanding Connections and Patterns
Network science explores how connections influence various systems, from social networks to epidemiology, through rigorous analysis.
What was corrected
The article said almost every real network shows power-law/clustering structure, that small-world is a near-universal property, that scale-free structure is settled and common, that real networks are robust to random failure and fragile to hub attack, and that scale-free epidemics have no threshold.
Qualified the scale-free and small-world universality claims, scoped the robustness/fragility pattern to hub-dominated networks, and clarified the epidemic-threshold result as an idealized-model property.
Why this is better
These were textbook claims stated more universally than current network science supports (notably the contested prevalence of scale-free structure). Corrections add the appropriate uncertainty rather than adding new sources.
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