Social Network Analysis Using R

Social Network Analysis Using R

1h 7mIntermediate2017-01-05

Authors

Curt Frye

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
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