Twitter / Google / YouTube / Vertex / Analyzing Social Media Networks / Visualizing Threaded Conversation Networks / Microsoft / /
Country
United States / / /
Facility
College Park / College of Information Studies / University of Maryland / /
IndustryTerm
online data / online relationships / social networking sites / reply network / web design / open source network analysis tool / affiliation network / email import tool / years network analysis tools / user-to-user network / ego-networks / social media tools / web discussion forums / stable core / social media sources / affiliation networks / social networking site wall posts / bi-modal networks / direct reply networks / conversation systems / reply networks / online interactions / online discussion / web boards / star network / online communities / bi-modal network / important networks / conflict management / level reply network / software platforms / reputation systems / message systems / direct reply network / information visualization tools / email list network / online community / /
OperatingSystem
Microsoft Windows / /
Organization
University of Maryland / College Park / College of Information Studies / Dept. of Computer Science & Human-Computer Interaction Lab / Center for the Advanced Study of Communities and Information / /
Position
RT / single author / original thread author / author / administrator / /
Product
iPhone / /
ProgrammingLanguage
Cascading Style Sheets / /
ProvinceOrState
California / /
Technology
BBS / JAVA / Bulletin Board Systems / specific technology / /
Visualizing Threaded Conversation Networks: Mining Message Boards and Email Lists for Actionable Insights* Derek L. Hansen1, Ben Shneiderman2, and Marc Smith3 1