Analyzing Social Media Networks with NodeXL, 2nd Edition

Chapter 6

Calculating and visualizing network metrics

Abstract

NodeXL provides access to a powerful set of quantitative network metrics. Aggregate network metrics characterize the network as a whole and include graph density, diameter, reciprocated vertex pair ratio, number of connected components, etc. Vertex metrics also called centrality metrics identify important and unique individuals. They include degree, in-degree, out-degree, betweenness centrality, eigenvector centrality, closeness centrality, PageRank, and clustering coefficient. These metrics, along with other attribute data (i.e., data describing the people or connections) can be mapped onto visual properties to create meaningful network visualizations. NodeXL also provides text ...