Graphs: Difference between revisions
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(Created page with "=Internal= * Data Structures =Overview= Graphs are fundamental structures in data science. They apply directly to a large number of problems...") |
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Graphs are fundamental structures in data science. They apply directly to a large number of problems that involve physical networks - such as the phone network or the internet, or logical networks about parallel relationships between objects in general - the order in which to execute interdependent tasks. | Graphs are fundamental structures in data science. They apply directly to a large number of problems that involve physical networks - such as the phone network or the internet, or logical networks about parallel relationships between objects in general - the order in which to execute interdependent tasks, or the analysis of social networks, for example. | ||
Graphs are backed by mathematical formalism. The [[Graph Concepts]] page provides a number of terms and some mathematical tools that are useful when dealing with graphs. | |||
Revision as of 18:58, 1 October 2021
Internal
Overview
Graphs are fundamental structures in data science. They apply directly to a large number of problems that involve physical networks - such as the phone network or the internet, or logical networks about parallel relationships between objects in general - the order in which to execute interdependent tasks, or the analysis of social networks, for example.
Graphs are backed by mathematical formalism. The Graph Concepts page provides a number of terms and some mathematical tools that are useful when dealing with graphs.