核心概念
Machine learning is leveraged to classify small-world networks based on key features and interactions, enhancing understanding of network structures.
统计
Our study underscores the significance of specific network features and their interactions in distinguishing generative models.
引用
"The ability to simulate realistic networks based on empirical data is an important task across scientific disciplines."