Using R to visually compare the volume of different information sources

Posted by on Jan 16, 2013 in Data Visualization, Information Visualization, Media, R, r-project, Research | 0 comments

A couple of weeks ago Bob wrote about a post about a research note that was recently accepted to the iConference. In it we outline the beginnings of a research project where we look at the interaction of different media platforms (Twitter and Blogs) with more traditional sources. In this post I go through the R code we used to plot, and visually compare, the volume of different information sources.

The data for this example is randomly drawn along a Pareto distribution so anyone should be able to just open the file, run it and have plots. Like I did in the last R example, I have used comments in the code to explain what I’m doing in the creation of these plots. After the code I give a brief introduction on the tool I use to select colors.

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Hockey, Basketball,…and Research?

Posted by on Dec 31, 2012 in Data Visualization, Gatekeeping, Information Visualization, Media, Modeling, Research | 0 comments

Recognizing patterns and rhythms in social media data

Wayne Gretsky is quoted as saying that a great hockey player plays where “the puck is going to be,” not where it is.  Gretsky, like the great NBA point guards (think Magic Johnson or Mark Price), was quick to detect emerging patterns in movement and flows–then take advantage of what was about to happen.  In our research efforts, we often try to detect patterns in order to explore what these patterns may tell us about underlying processes.

PatternsThe SoMe Lab is examining patterns in the movement and flows of information between and among social media platforms.  We observe that traditional media news may inform or trigger information exchanges in the blogosphere or Twitter; and vice versa.  We want to look closely at these patterns to gain insights into phenomena such as virality, the birth and life cycle of interest networks, and the dynamics of a fluid cast of gatekeepers.   The accompanying image illustrates the patterns that distinguish the volume of tweets, blog posts, and traditional news items following the pepper spraying incident at UC-Davis November 18, 2011.

 

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SoMe Lab and UW receive mention in Mashable, Unigo

Posted by on Sep 28, 2012 in Media | 0 comments

SoMe Lab and UW receive mention in Mashable, Unigo

The University of Washington is part of the Top 10 Schools that Tweet and Like more than You!  SoMe Lab received special mention as one of the contributing factors.  This article was originally featured as a Unigo top 10 list, but has since been copied to the main Unigo page for UW.  If you’re coming to UW because you heard of us, make sure to stop by the office!

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