Social Network Analysis Using R

1h 7mIntermediate2017-01-05

Authors

Curt Frye

President of Technology and Society, Incorporated

Course details

Social Network Analysis Using R teaches analysts how to visualize and analyze data from a social network like Twitter or Facebook with the text-based statistical language, R. If you're involved in analytics in any capacity, this course will be a huge help, teaching you how the R sna and igraph modules works and how to format data for analysis, create graphs, analyze network graphs, and visualize networks. Join instructor Curt Frye and learn how to examine the relationships and trends among networks in new and exciting ways, and discover information about how individuals in an organization interact.

Learning objectives
Formatting data
Creating network graphs
Measuring connectedness and betweenness of points
Calculating networking density
Describing network components
Visualizing a network
Writing a network description to a text file

Skills covered

Social SellingRStatisticsSalesProjectMarketingProgramming LanguagesData ScienceOpen SourceSoftware Development

Concepts

0. Introduction

01 - Welcome
02 - What you should know before watching this course
03 - Using the exercise files

1. Creating Network Graphs

04 - Download and install sna and igraph
05 - Format data for social network analysis
06 - Create a graph from existing data
07 - Create sample graphs

2. Analyzing Network Graphs

08 - Measure connectedness of points
09 - Measure betweenness of points
10 - Calculate network density
11 - Identify cliques in a graph
12 - Find components of a graph
13 - Take a random walk on a graph

3. Visualizing a Network

14 - Visualize a network
15 - Change edge and vertex colors
16 - Write out a graph

Conclusion

17 - Next steps