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This article explores the intricacies of complex cooperative networks through the lens of evolutionary preferential attachment over a decade. It references foundational studies on structural characteristics of complex systems, highlighting the small-world property, scale-free dynamics, and universality. The paper delves into critical statistical characterizations, models such as the clustering coefficient and degree-degree correlations, and discusses advanced community detection algorithms. The insights drawn from these findings offer valuable perspectives for understanding network dynamics in various domains.
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