Skip down to main content

Distilling Digital Traces and Capturing Crowds with NodeXL

Date & Time:
17:15 - 18:30,
Thursday 9 November, 2017

About

In this talk, Marc will demonstrate how NodeXL has been used to capture and identify online crowds of conversations. We will see how some crowds look like cohesive groups, while others look like a cacophony of isolated voices. Marc will cover the variety of crowd types that have been qualitatively identified through visual analysis and statistical techniques.

Data Dump to delete

Speakers

  • Name: Marc Smith
  • Affiliation: Connected Action Consulting
  • Role:
  • URL:
  • Bio: Marc Smith is Chief Social Scientist of Connected Action Consulting and co-founder of the Social Media Research Foundation. He was previously at Microsoft Research. Dr Smith is a Distinguished Visiting Scholar at Media-X in Stanford and adjunct faculty at the University of Maryland. He is the primer mover behind NodeXL, the popular and user-friendly way to capture, manage and visualize social networks particularly with social media data. Smith’s research focuses on computer-mediated collective action: the ways group dynamics change when they take place in and through social cyberspaces. He co-edited Communities in Cyberspace, a collection of essays about identity online and co-edited Analysing Social Media Networks with NodeXL. While he is currently in industry Marc still actively publishes in academic journals with a multitude of collaborators.

Papers

Privacy Overview
Oxford Internet Institute

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Strictly Necessary Cookies
  • moove_gdrp_popup -  a cookie that saves your preferences for cookie settings. Without this cookie, the screen offering you cookie options will appear on every page you visit.

This cookie remains on your computer for 365 days, but you can adjust your preferences at any time by clicking on the "Cookie settings" link in the website footer.

Please note that if you visit the Oxford University website, any cookies you accept there will appear on our site here too, this being a subdomain. To control them, you must change your cookie preferences on the main University website.

Google Analytics

This website uses Google Tags and Google Analytics to collect anonymised information such as the number of visitors to the site, and the most popular pages. Keeping these cookies enabled helps the OII improve our website.

Enabling this option will allow cookies from:

  • Google Analytics - tracking visits to the ox.ac.uk and oii.ox.ac.uk domains

These cookies will remain on your website for 365 days, but you can edit your cookie preferences at any time via the "Cookie Settings" button in the website footer.