Connected Action

+   The Stanford Network Analysis Platform (SNAP) (http://snap.stanford.edu) is a high performance library for calculating network metrics of potentially very large graphs. Working with SNAP author and Stanford Computer Science Professor Jure Leskovec, the NodeXL team is releasing a new update with expanded support for network metrics. With SNAP integrated into NodeXL we have [...]

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The WWW2010 conference is underway in Raleigh, North Carolina. This is a map of the connections among the population of people who recently tweeted the term “WWW2010″.  The size of the profile photos indicates the log scaled number of followers that person has.  The edges vary in weight, thicker edges mean more of the three [...]

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I will present a workshop on social media network analysis at the next Network Singularity event at Fort Mason on the Bay in San Francisco on April 30, 2010. Bay Area and Silicon Valley Network: Special Action/Research Event Social Media Network Analysis: Next Practices in Social Network Analysis, Tools and Media Friday 30 April 2010 8:00am -5:00pm [...]

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I spoke about social media with Natalia Martín Cantero, RTVE blogger and professor in digital new reporting at IE School of Communication-IE University in Segovia, Spain along with my colleague John Kelly, from the Berkman Center for Internet & Society, Harvard University and Founder of Morningside Analytics. The video was recorded at the symposium on Transnational connections: Challenges and opportunities for communication. In this [...]

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My colleague at the Oxford Internet Institute, Bernie Hogan, is working on tools that collect personal Facebook network data and visualize the connections among your friends.  These tools now interoperate with NodeXL through the GraphML XML file format. Here is the new link: http://namegen.oii.ox.ac.uk/fb/downloadNet.php?type=graphml Here is an example: http://twitpic.com/9rvfq It provides a good illustration of the [...]

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I am joining Media-X at Stanford University as a visiting scholar. I will work with Martha Russell and Chuck House in applying social network analysis to social media research. You can email me at masmith1@stanford.edu! Our next event will be in late July and will focus on the use of social media analysis for mapping patterns [...]

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In March, 2010 I had the pleasure of attending and speaking in Segovia, Spain at the IE University Department of Communication at the symposium on Transnational connections: Challenges and opportunities for communication. The symposium is organized with Center for Global Communication Studies at the Annenberg School for Communication, University of Pennsylvania.  I participated in a video interview with several [...]

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The eruption of Eyjafjallajokull in Iceland has created disruption of air traffic around the world and particularly through Northern Europe.  A similar eruption of tweets has followed, focused around a series of hastags including “#ashtag”, “#ashcloud”, and “#volcano”. The #ashtag network is highlighted by well known technology bloggers. In contrast the map for the tag [...]

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The Twitter Chirp conference attracted tweets from many technology leaders and bloggers.  Here is a ranked list of the top most “between” people who tweeted the term “chirp” in the last day. A complete social network map, with edge thickness proportional to the number of network connections (follows, replies, mentions) that link the two participants [...]

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The CHI 2010 conference is well underway in Atlanta this week and lots of people are tweeting the #CHI2010 hash tag.  An updated NodeXL map of the connections among people who use the #CHI2010 tag is below: This is the network map of follows, replies, and mentions relationships among Twitter users who mentioned “CHI2010″ as [...]

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From this:to this:  in just a few clicks. Many network graphs contain disconnected smaller graphs, called “components”, within them. Most layout algorithms do a poor job of managing to group each component in a separate space. Instead, often, components are laid over one another, suggesting connections that are not real. A simple solution we have [...]

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by chris.corwin – -  We have several data import providers (spigots) in NodeXL that query popular sources of social media for information that can be processed into a network graph.  User and search term networks from Twitter, YouTube, and flickr have been implemented for a while along with a connector to email reply networks through [...]

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The right click menu is a source of many good things in NodeXL. In the graph pane, the right click menu contains several options of possible interest. This is a map of the recent connections among twitter users who tweeted the string “NodeXL”.  Each profile photo is scaled to the number of followers that person has. [...]

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If you are attending the CHI 2010 conference in Atlanta and are interested in social media network analysis, consider attending this tutorial: CN03: Introduction to Social Network Analysis Time: Monday, 12 April 2010, 11:30 to 18:00 Organizers: Marc A. Smith, C.S. Ang, Derek Hansen, Panayiotis Zaphiris Presenters: Derek Hansen, Panayiotis Zaphiris Benefits This course provides an [...]

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