This document contains 10 figures showing social networks and how to calculate and visualize various network metrics in NodeXL. It discusses visualizing metrics like degree, betweenness centrality, and closeness centrality on two sample networks - a kite network and a network of character interactions in Les Miserables. It also shows aggregate graph metrics and frequency distributions of metrics.

1. 1Copyright © 2011, Elsevier Inc. All rights Reserved
Chapter 5
Calculating and Visualizing
Network Metrics
Analyzing Social Media Networks with NodeXL
Insights from a Connected World

2. 2Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 5.1
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The Kite network shown with an undirected edge list and manually created
layout.

3. 3Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 5.2
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TheNodeXL Graph Metrics dialog with all metrics selected.

4. 4Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 5.3
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The Kite network showing graph metrics for each vertex. Degree is mapped
to size (1.5 to 6), Betweenness Centrality (50 to 100) is mapped to opacity,
and Closeness Centrality is set as the tooltip.

5. 5Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 5.4
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The NodeXL Overall Metrics worksheet showing aggregate graph metrics
for the Kite network and the frequency distribution of the vertex-specific
metric degree.

6. 6Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 5.5
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Les Misérables character co-appearance network data sorted by edge
weight from largest to smallest and visualized with the Harel-Koren Fast
Multiscale layout and some hand tuning. Edge width (1 to 4) and opacity
(10 to 100) both use data in the Edge Weight column using the logarithmic
mapping option. Edges are a different color (maroon) to keep the vertices
identifiable.

7. 7Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 5.6
Chapter5
The Les Misérables network mapping Degree to vertex size (1.5 to 5),
Betweenness Centrality to vertex opacity (50 to 100), and Clustering
Coefficient to tooltip. Characters with signifi cant metrics are labeled. Edge
width (1 to 4) and edge opacity (10 to 60) are based on a logarithmic
mapping of edge weight.

8. 8Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 5.7
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Les Misérables network mapping Degree to the X axis (and size) and
Betweenness Centrality to the Y axis (and opacity). Axes are shown. Edges
are hidden. The scale is modified to account for Valjean’s position as an
outlier.

9. 9Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 5.8
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Vertex Y Options set to a maximum of 0.4 to remove the outlier Valjean and
scale the Y axis appropriately.

10. 10Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 5.9
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Selecting Graph Elements to display from the NodeXL ribbon including
axes.