Another post looking at Twitter data in R. It follows this one and this one. I wanted to look again at my tweeting frequency over the 12 years on Twitter, but this time do it in a calendar view. Something like a GitHub commit calendar would be perfect. I have used a library for this […]
Tag: Twitter
Any Time At All: tweet frequency around the clock
Please consider this a “supplementary analysis” to my previous post looking at the frequency of tweets from my personal account over the last 12 years. I was curious about what times I was active on Twitter (measured by when I tweeted). Others might be interested in a solution to look at this in R. The […]
Twitcher: tweet frequency over the years
At the time of writing, I have essentially left Twitter. It was a fun ride and without going into what’s happening there now, this is a good opportunity to look at my 12 years on the platform. Early in November, I downloaded my data and locked my Twitter account. This gave me all the data […]
Free Bird: moving to Mastodon
There’s plenty of guides to getting going on Mastodon, aimed at people leaving Twitter. I just wanted to post a couple of technical points about making the switch that might be of interest to people who maintain webpages with Twitter content (feeds, embeds). Mastodon status updates (feed/timeline) Twitter provided a widget that meant that an […]
Wordless Song: Benchmarking Wordle performance using R
A quick post about a puzzle called Wordle that is currently taking over the internet. It’s a mastermind-like game where the object is to guess an unknown 5-letter word. Puzzlers are encouraged to share their results after completing a puzzle. Here is an example for puzzle 192. So how do you know if your performance […]
Get Better: creating a research profile
Part of a series on the development of Early Career Researchers in the lab. We spent a session discussing how to create a research profile. This led to a second session on CVs. Here is an outline of what we covered. CVs We talked about different CV formats first of all. We focussed on academic […]
Tips From The Blog XII: Improving your Twitter experience
This is a quick set of tips to improve your Twitter experience. YMMV on these tips. Plus I can see Twitter changing things so that they no longer work, but this advice is correct as of today. I see a lot of people on Twitter complaining about two things: These things seem to plague Twitter […]
Rip It Up: Grabbing movies from Twitter for use in ImageJ
Some great scientific data gets posted on Twitter. Sometimes I want to take a closer look and this post describes a strategy to do so. Edit: I received a request to take down the 3D volume images derived from the example dataset I used in this post. I’ve edited the post below so that is […]
I’m not following you II: Twitter data and R
My activity on twitter revolves around four accounts. I try to segregate what happens on each account, and there’s inevitably some overlap. But what about overlap in followers? What lucky people are following all four? How many only see the individual accounts? It’s quite easy to look at this in R. So there are 36 […]
The Sound of Clouds: wordcloud of tweets using R
Another post using R and looking at Twitter data. As I was typing out a tweet, I had the feeling that my vocabulary is a bit limited. Papers I tweet about are either “great”, “awesome” or “interesting”. I wondered what my most frequently tweeted words are. Like the last post you can (probably) do what […]