Hello! Along with Derek Hansen, Itai Himelboim and Ben Shneiderman I would like invite you to submit a chapter to our new book series on NodeXL applications to research: Think Link: Connecting to the power of (social media) networks with NodeXL…
The United States State of the Union address this year was held Tuesday evening, 25 January 2011. The event is a globally visible opportunity for the President of the United States to present the Administration's vision for its agenda for…
Mapping Social Networks with NodeXL: Finding Direction in a Sea of Connection The Community Foundation for Monterey County has a Social Network Support project that has applied network analysis techniques to map networks of nonprofit organizations (http://www.cfmco.org/index.cfm/id/18/Social-Network-Support/). They recognize that awareness…
The very interesting Quantified Self conference will be held in Mountain View, California, May 28 and 29, 2011. These events feature short presentations about practices, prototypes, and products that record information about our own behavior and activity. It is great to…
Date: October 22, 2010 The first CONNECTING THE DOTS symposium on network visualization organized by Michael Barnett, Jukka-Pekka Onnela, and Samuel Arbesman of The Christakis Lab at Harvard was held on October 22, 2010.
Keynote speakers:
Alessandro Vespignani, Professor of Informatics and Computing, Indiana University, Bloomington Ben Fry, co-developer of Processing and data visualization expert
The NodeXL project will be represented by Ben Shneiderman who will speak at 2:00 PM on:
Analyzing Social Media Networks with NodeXL
NodeXL is the free and open add-in for Excel 2007/2010 that supports network
overview, discovery and exploration. Supported by Microsoft External Research
for 3+ years, this effort has produced a game-changing software tool that enables
students, researchers, and professional community managers to extract and
download networks from email, Twitter, YouTube, Flickr, WWW, etc. Then they
can compute network analytic metrics, filter out less relevant features, apply
multiple layout algorithms, and produce compelling yet comprehensible displays
that reveal actionable insights about complex social processes.