1) The document analyzes Twitter data related to the CMAD2013 conference to explore how visual network analysis of social media data can provide insights for co-organizing conferences. 2) It describes creating a two-mode network of Twitter users and hashtags as well as one-mode networks of connections between users and hashtags. This revealed the most influential users, topics of common interest, and presented concepts. 3) The network analyses helped identify popular content and people with similar interests to better design future conferences, and highlighted how hashtag discussions can be facilitated or risk scattering. It also noted limitations of broken links in Twitter data over time.