Social Media / Network Analysis

 

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New Open Source Tools

Friday, January 22, 9:30am – 12:30
No-Cost Registration Required

Take data from common social media sources (including enterprise discussions and online communities, twitter, flickr, your own email, and facebook.)

Find the experts, the bridges and brokers, discover major clusters and identify leaders.

Easy to use open source tools for network analysis open doors to many new types of questions in social science research.

This workshop provides an overview of Social Network Analysis and its application to social media.  Learn how to use the NodeXL social network analysis add-in for Excel to:

  • Transform communication data (e.g. Twitter, email, flickr, message boards etc.) into network data.
  • Understand the possible presentations of social networks, e.g. in a matrix or a sociogram.
  • Apply network metrics & visualizations to find clusters and key contributors in real world social media data sets.
  • Derive practical information through SNA analysis for innovative and successful online communities.
  • Marc A. Smith is a sociologist and Chief Social Scientist at Connected Action Consulting Group, a provider of quality social media analysis platforms and systems.  Smith specializes in the social organization of online communities and computer mediated interaction. He founded and managed the Community Technologies Group at Microsoft Research in Redmond, Washington and now leads the development of social media reporting and analysis tools for Connected Action Consulting Group. Smith is the co-editor with Peter Kollock of Communities in Cyberspace (Routledge), and conducts empirical studies of online collective behavior (see: http://delicious.com/marc_smith/Paper). Smith received a B.S. in International Area Studies from Drexel University in Philadelphia in 1988, an M.Phil. in social theory from Cambridge University in 1990, and a Ph.D. in Sociology from UCLA in 2001. He is an affiliated faculty member in the Department of Sociology at the University of Washington and the College of Information Studies at the University of Maryland.

    Space is limited.
    No-cost registration is required. 
    dmacugay@stanford.edu

    #124 Wallenberg Hall

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