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