Blog Archives

The MakeR way: Using R to reify social media data via 3d printing

October 3, 2013
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The MakeR way: Using R to reify social media data via 3d printing

If you’ve read any of my previous posts you know

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Data sonification with R: the sound of Twitter data

May 29, 2013
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Data sonification with R: the sound of Twitter data

What does a tweet sound like? Not the kind that flies around in the air, but the kind that zips to and from our mobile devices. I’m intensely interested in finding ways to make sense of data. Sonification of data – representing data with sound – offers one way to do that. This post steps

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Visualizing threaded conversation volume and intensity

January 24, 2013
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Visualizing threaded conversation volume and intensity

As a researcher interested in information flows in digital environments I’m often interested in finding patterns in social trace data. For this discussion we can think of digital social trace data as the text that people post into threaded topics on forums, like on Reddit or a Wiki Talk page on Wikipedia. One way to

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R Gauge Plots

January 17, 2013
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R Gauge Plots

Gaston Sanchez’s post on R-Bloggers inspired me to waste a bit of time. He wanted to replicate the Google Charts widget to make gauges. I modified his code (below) in some minor ways and made a function out of it so you can alter the look and feel of your gauge. Feel free to pilfer

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Using R to visually compare the volume of different information sources

January 16, 2013
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Using R to visually compare the volume of different information sources

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

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R/iGraph Holiday network animation and How-to tips

December 17, 2012
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R/iGraph Holiday network animation and How-to tips

The animation embedded in this post was done using R and the iGraph package and was, frankly, a great deal more work than I thought it would be when I started. What kept me going was a desire to express a wish for the New Year while also experimenting with some functionality that might be

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How to: network animation with R and the iGraph package & Meaning in data viz

November 27, 2012
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How to: network animation with R and the iGraph package & Meaning in data viz

This article lists the steps I take to create a network animation in R, provides some example source code that you can copy and modify for your own work, and starts a discussion about programming and visualization as an interpretive approach in research. Before I start, take a look at this network animation created with

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Network vizualization and meaning shifting due to algorithm settings

November 15, 2012
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Network vizualization and meaning shifting due to algorithm settings

Data visualizations are useful for exploratory work and as an aid in communicating findings. Data visualizations also seem to be in demand these days as a kind of eye candy for capturing attention. But when we look at one engaging enough to hold our attention, we want to know what it means. In other words,

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Visualization of a Twitter retweet network: art or useful data visualization?

July 14, 2012
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Visualization of a Twitter retweet network: art or useful data visualization?

This is a Twitter retweet network. When people tweet, they may get retweeted by other people, repeating the message for their followers to view. Each retweet is a one-way flow of information that links the first person to each person who retweeted them (forwarded the original tweet into their own network). So, in this visualization

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Retweets, Modified Tweets, vias: what’s in the SoMeLab dataset

June 23, 2012
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Retweets, Modified Tweets, vias: what’s in the SoMeLab dataset

  Since October we have been collecting tweets related to the Occupy movement and so far we’ve picked up 64,298,104 tweets. In future posts we will give you some insight into our process, but today the question is, what is the difference between new style retweets, old style retweets and new emerging tags like MT?

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