In the context of graph theory and data science, “Name & Data Nodes” refer to the fundamental components of a network. Name nodes represent entities or objects, while data nodes encapsulate the attributes or information associated with these entities. Together, they form a structured representation of relationships and properties within a network. Understanding the distinction between name and data nodes is crucial for tasks such as network analysis, machine learning, and data visualization, as it allows for effective modeling of complex systems and enhances the ability to derive insights from interconnected data.