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Webinar Details

Visualizing Big Data: Social Network Analysis

Michael Lieberman

Wednesday, February 11, 2015
Noon - 1:30 PM CST/ 1:00 - 2:30 PM EST/ 10:00 - 11:30 AM PST

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About This Course:

Social Network Analysis views Big Data in terms of network theory, consisting of nodes (representing individual actors within the digital network) and ties (which represent relationships between the individuals, such as Facebook friendships, hyperlinks, or Twitter responses) These networks are often depicted in network diagrams, visualizations that synthesize the tide of social network chatter into discernible, actionable research.

Visualization of social networks is now coming online to make sense of Big Data and convey the results of analyses through emerging, open-source programs. For example, NodeXL is a free Excel back-end module; it is one of the leading analytic software modules for network visualization.

This webinar will present the fundamentals of Social Network Analysis. It will provide sample Twitter and Facebook maps and show how they may be used for enhancing marketing research on the socialmediaosphere.

Learning Objectives:

  • Understand Social Network Analysis; its history and modern applications.
  • Analyze the most common types of Twitter visuals produced by Social Network Analysis.
  • Apply Social Network Analysis to website links within their industry space.

About the Instructor:

Michael D. Lieberman has more than 22 years of experience as a researcher and statistician in the marketing and advertising research fields. Michael works with an international clientele including advertising firms, political strategy groups, and full service market research companies. Michael Lieberman is the author of dozens of professional articles as well as two marketing research E-books.

Mr. Lieberman has taught at City University of New York and the University of Georgia as an adjunct professor of statistics and market research.