Network-based
Network-based refers to a type of analysis or modeling approach that focuses on the relationships and interactions between entities in a network. In data science and artificial intelligence, network-based methods are used to analyze complex systems such as social networks, biological networks, and communication networks. These methods involve representing the entities and their relationships as nodes and edges in a graph, and then using graph theory and other mathematical techniques to analyze the structure and dynamics of the network. Network-based approaches are particularly useful for identifying key nodes or clusters in a network, predicting the behavior of the network under different conditions, and detecting anomalies or patterns in the data. They are also used in machine learning and deep learning algorithms, such as graph neural networks, to model complex relationships between data points.
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