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Graph Analytics

Graph analytics, or Graph algorithms, are analytic tools used to determine the strength and direction of relationships between objects in a graph. The focus of graph analytics is on pairwise relationships between two objects at a time and structural characteristics of the graph as a whole.



This focuses on the weight of the edges between nodes. It can be applied to identify weaknesses in a system or anomalies such as abnormally high or low activity. Community analysis- This focuses on the interactions between nodes.


Three types of graphs are used in this course: line graphs, pie graphs, and bar graphs. Each is discussed below.

Graph analytics is a field of study that involves analyzing and exploring relationships between entities in a network or graph. A graph consists of nodes (or vertices) and edges (or links) that connect them. Graph analytics involves using mathematical and computational techniques to study the structure, properties, and behavior of graphs.

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