Size Matters (in a Word Cloud)

Astronomer Jim Geach at McGill in Canada put his coding skills to excellent use to create word clouds from the author lists of the top 500 astronomy papers (by citation counts) from ADS. He created clouds for each 15-year interval since 1905, I’ve shown the most recent 2 below. See his webpage for more info on how the images were created, and please complain to him if the size of your name looks smaller than your ego academic prowess.

The cloud for the last 15 years shows how the subject, or rather the citation counts, are dominated by extragalactic science. Also, not surprisingly, by men – high fives to the Drs. Kauffmann, Dunkley, Freedman, Faber, Ferrarese et al for heading up the women in the field in the last 15 years.

Author cloud, 1995-2011

 

Author cloud, 1980-1995

Plotting Astronomers

(click to enlarge)

The Hertzsprung-Russell diagram is one of the fundamental plots in astronomy. I remember it being one of the very first “sciencey” things I learnt about astronomy. It’s a very elegant plot, as it relates two very basic quantities about stars, their temperature and their brightness,  and presents a visually memorable picture. The main known classes of stars each, like white dwarfs or red giants, populate their own corner of the diagram.

And now Stuart has taken the HR diagram and made a human version of it: the Astronomer HR diagram! It’s very neat, and lots of astronomers have been figuring out where they would place on the plot. If I count my SPIE Proceedings papers, not strictly refereed but usually counted as such for intrumentalists, I’m at [17,4500], nicely along the Main Sequence. Counting just my very strictly peer-reviewed papers, I’m at [3,4500], in the new media section. Either’s fine by me!

Image: S. Lowe

A pretty picture of me

Ha! No, I’m not giving you an actual pretty picture of me – I may have a blog but I’m not that much of a narcissist. Two of my favourite online toys right now are Wordle and social bookmarking site Delicious, which I started using a couple of months ago as a way of keeping track of links and bookmarks. So far it works well for me and it integrates nicely with other applications I use, like Twitter and FriendFeed. I created a Wordle of my Delicious tags and despite having only used the site for a short while, the tags sum my science-related interests up pretty well (and it looks so attractive!).  Click to see a bigger version.

Now apparently I just need to settle on how I want to spell “visualis/zation”!

#STFC in tweets

My twitter feed in the last weeks of the decade was often dominated by reactions to and discussions of the funding cuts to physics and astronomy research in the UK announced on 16 December. On the day of this announcement I created a permanent archive for all tweets hashtagged #stfc to keep a record of all that was said on the issue – as regular twitter searches only go back around 10 days. On the last day of the year I exported all the tweets going back to 10 December and I’ve been playing around with visualising them. Here are a few samples.

Here’s a plot of the number of tweets in the 12 days from 15 December to 16 December, binned per hour. The red lines indicate the approximate time of the announcements of the funding cuts on 16 December, and of the postdoctoral fellowships cancellation on 21 December. Click on the chart for a closer look and get the data here. At the height of the buzz, there were almost 120 tweets in one hour, and on the 16th around 500 tweets were tagged #stfc. And while the traffic has quieted somewhat now, the STFC crisis is still an active topic of discussion.

If you thought it was only a small group of people making a lot of noise, think again. Over 330 people tweeted about STFC in the whole 3-week period, and even the busiest tweeters contributed no more than 4% of the total. Click on each pie segment to see the usernames and numbers.

The archive is accessible to anyone and continues to aggregate #stfc tweets at the same location. I’ve placed the data file with the tweets I used to generate these images in a public location, as well as the idl script I wrote to process the data and generate the timeline (the script uses a few functions from the idl astronomy library). The pie chart was created using the Google Pie Chart gadget in Google docs. The word cloud was generated by Wordle, removing common English words plus “rt” and “stfc”.

.Astronomy Day 4: Eye candy

chromoscope

Day 4 at .Astronomy was all about visualisation. Astronomy is arguably the most naturally photogenic of the sciences, even though we don’t know what much of the stuff out there actually is. As technological advances enable wider, deeper, higher-resolution observations, astronomical data become increasingly complex. But data is not knowledge, and the information we can extract from these large multi-dimensional datasets is limited by our ability to visualise and mentally process this complexity. Unfortunately, PhDs don’t give us extra powers over everyone else. Our minds are wired the same as everyone else’s – we just learn how to manipulate data and present them in novel ways that make them make sense to our limited brain.

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