April 10, 2015
10:00AM - 12:00PM
Annenberg School for Communication, Room 300
3620 Walnut Street
Philadelphia, PA 19104
+ Google Map
Speaker: Anatoliy Gruzd
As social creatures, our online lives just like our offline lives are intertwined with others within a wide variety of social networks. Each retweet on Twitter, comment on a blog or link to a Youtube video explicitly or implicitly connects one online participant to another and contributes to the formation of various information and social networks. Once discovered, these networks can provide researchers with an effective mechanism for identifying and studying collaborative processes within any online community. However, collecting information about online networks using traditional methods such as surveys can be very time consuming and expensive. This tutorial will explore automated ways to discover and analyze communication networks from social media data. As part of the tutorial, participants will learn how to use Netlytic (http://netlytic.org), a cloud-based text and social networks analyzer to collect, analyze and visualize publicly available online conversations from social media websites such as Facebook, Twitter and Instagram. Participants are encouraged to bring their laptops to follow the tutorial.
Please RSVP to email@example.com is you are interested in attending.
Join us for Dr. Anatoliy Gruzd’s preceding talk “The Use of Social media during the 2014 Crisis in Ukraine.”
Dr. Anatoliy Gruzd is an Associate Professor in the Ted Rogers School of Management at Ryerson University. He is also the Director of the Social Media Lab and a co-editor of a new, multidisciplinary journal on Big Data and Society published by Sage. Dr. Gruzd’s research initiatives explore how the advent of social media and the growing availability of social big data are changing the ways in which people communicate, collaborate and disseminate information and how these changes impact the social, economic and political norms and structures of modern society. Dr. Gruzd and his lab are also actively developing and evaluating new approaches and tools to support social media data stewardship (the collection, storage, use, reuse, analysis, and preservation of social media data).