1 Answers
Anonymous answered 3 years ago
- Graph algorithms are a subset of tools for graph analytics.
- Graph analytics is something we do—it’s the use of any graph-based approach to analyze connected data.
- There are various methods we could use: we might query the graph data, use basic statistics, visually explore the graphs, or incorporate graphs into our machine learning tasks.
- Graph pattern-based querying is often used for local data analysis, whereas graph computational algorithms usually refer to more global and iterative analysis.
- Graph algorithms provide one of the most potent approaches to analyzing connected data because their mathematical calculations are specifically built to operate on relationships.
- They describe steps to be taken to process a graph to discover its general qualities or specific quantities.
- Based on the mathematics of graph theory, graph algorithms use the relationships between nodes to infer the organization and dynamics of complex systems.
- Network scientists use these algorithms to uncover hidden information, test hypotheses, and make predictions about behavior.
- There are many types of graph algorithms but the three classic categories consider the overall nature of the graph: pathfinding, centrality, and community detection.
- However, other graph algorithms such as similarity and link prediction consider and compare specific nodes.