RStudio, Jupyter, Emacs, Vim: nothing that works properly is easy to use and nothing that is easy to use works properly

So I am preparing to teach quantitative analysis of social media data using R, the open source language for statistical programming. I usually do anything code-related in Emacs, because I already know how to use Emacs and you can do everything code-related in Emacs and I don’t want to install and learn the quirks of loads of different IDEs. But that argument won’t make sense from the point of view of my students, firstly because they won’t need to do everything code-related, they’ll just need to create R notebooks, and secondly because they don’t already know how to use Emacs, and learning how to use Emacs is hard because Emacs is weird.

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Big data and the study of reading

By Daniel Allington and Andrew Salway

[Cross-posted from http://www.digitalreadingnetwork.com/big-data-study-reading/. Comments disabled here; enabled on the original.]

We’re really looking forward to running the workshop on big data and digital reading on 6 March 2014. Here is your required reading… just kidding, but we’ve selected two discussion pieces that we think could be interesting to talk about, so if you could have a look at them ahead of the workshop and post any initial thoughts below, that would be brilliant.

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Livetweets from my talk on social network analysis, interactive fiction, and cultural value (because I just can’t get over the novelty)

Last month at the Open University, I not-quite-livetweeted Tim Hutchings’s excellent talk on digital bibles. Last week at King’s College London, I found myself – for the first time ever! – being livetweeted (actually livetweeted, no time delays). I’d been liveblogged before, but this was different. So forgive my gauche enthusiasm, but I can’t get over the novelty. It also formed a tidy little record of what I spoke about – as opposed to what I thought I might speak about, or what I promised to speak about. Thanks are due to everyone, but especially to Simon Rowberry.

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Forthcoming seminar: ‘Network analytic approaches to the production and propagation of literary and artistic value’

I’ve just received details of my forthcoming seminar, ‘Network analytic approaches to the production and propagation of literary and artistic value’, at the Centre for e-Research (CeRch) at King’s College London. It will take place at 6.15pm on Tuesday 1 October in the Anatomy Museum Space on the 6th floor of the King’s Building at the main KCL campus on the Strand. As you can see from the abstract, the focus will be on methodology and its theoretical implications (my approach emerges from Bourdieu’s sociology but employs social network analysis: two things that are often assumed to be in opposition). However, I’ll be illustrating everything with details from my empirical research on interactive fiction and a couple of other ongoing projects where I also look at relationships between cultural producers (early 20th century authors probably; contemporary visual artists possibly; maybe also something on electronic musicians). I may find time to talk about the specific digital tools that I’ve been using (for those who care about such things: Python 2.7, NetworkX, PyGraphviz).

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Corpus linguistics. Distant reading. Available abstract.

In case anyone’s interested, the abstract is now available for Ann Hewings’s and my paper in the Digital Humanities in Practice series, ‘Corpus linguistics as distant reading?’ We’ll be presenting it to the Digital Humanities Thematic Research Network at the Open University in Milton Keynes, from 12.00 on 4 July. The event goes on until 14.00, but that’s including lunch. Thanks to Francesca Benatti for inviting us and organising everything! Neither Ann nor I is a digital humanist, but Francesca assuredly is, so I shall trust her judgement that this is a good idea and look forward to some interesting discussion.

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