Week 6 – Let’s get… VISUAL!

Data. analysis.

This week we explored mining and then visualising the information that we can collect from Twitter via sources like Insight labs Tweet collector, Insight labs twiloc, and OpenRefine

Using Big Data, information pulled from networks such as Twitter, with specified users sometimes numbering in the hundreds of thousands or even millions, is a useful way to determine fluctuations and patterns within large groups which would have been previously undetectable before the advent of the digital age.


data everywhere


This week our primary focus was on Netlytics, a cloud-based text and social network analysis software that grabs information from sites like Twitter/Facebook and shows us the correlations between the information. Netlytics works off of a freemium model – (it’s free until you use it more than once-ish and then you realise you need the whole thing so you just end up buying it) but for the purpose of our assignment the free version did just fine.




Following on from last week I used the term #UseYourVote in my Netlytics research and, well, the results were actually very surprising.


Netlytics UseYourVote screengrab

Pictured above: A screengrab from the #UseYourVote Netlytics data map


Interestingly, @TheUSI (the Union of Students in Ireland) were the single biggest tweeters and had the most nodes (connection points) and ties (the lines linking different users together). While the data is quite scattered, meaning there wasn’t that much direct contact between users, from scanning the user list I was surprised at how little the political parties were represented, especially since my Storify from the previous week had been about the nationalistic undertone of the hashtag!




Upon closer inspection – the text analysis section – I discovered something perhaps more revealing about the content of the messages being scattered around the Twittersphere:


Netlytics UseYourVote wordcloud

Pictured above: The Netlytics #UseYourVote wordcloud

There was a disproportionate amount of the use of the Irish language – words like amháin meaning ‘one/singular’, duine meaning ‘person’ and chéile meaning ‘together’. my suspicion is that the hashtag did in fact conjure up nationalistic, patriotic sentiments and with it came, as it often does – the use of the Irish language.

Furthermore, words like ‘social’ and the inevitable ‘sinn’ (Sinn Féin) also appeared in the cloud reaffirming my belief that the hashtag was in fact used by those who advocated support for the populist party.

Anyways that’s all from me for now,

For more great data collection tools, check out this wikidot page





Konferencja UX Poland – 6 trendów projektowania doświadczeń w 2015 r. (n.d.). Retrieved March 4, 2016, from http://czlowiekitechnologie.com/konferencja-ux-poland-6-trendow-projektowania-doswiadczen-w-2015-r/ (Data… Data Everywhere)

Twitter  (n.d.). Retrieved from https://Twitter.com @USI

Netlytic. (n.d.). Retrieved from https://netlytic.org/

NodeXL. (n.d.). Retrieved from https://nodexl.codeplex.com/

Storify. (n.d.). Retrieved from https://storify.com/


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