Networks
In Data Science, Networks refer to a collection of nodes or vertices that are connected by edges or links. These nodes can represent various entities such as people, organizations, or machines, while the edges represent the relationships or interactions between them. Networks can be used to model complex systems and analyze their behavior, such as social networks, transportation networks, or biological networks. Network analysis involves studying the structure and properties of these networks, such as their degree distribution, centrality measures, and community structure. This analysis can provide insights into the underlying mechanisms and dynamics of the system being modeled.
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- NFS: NFS (Network File System) is a distributed file system protocol that allows users to access files and directories located on remote servers as if they were local. It enables sharing of files and resources across a network, making it easier ... Read More >>
- Data Entity: A data entity is a concept or object that represents a set of data attributes and their relationships to other data entities. It is a fundamental building block of a data model and is used to describe the structure of data within a system. ... Read More >>
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