#NWU Twitter NodeXL SNA Map and Report created Wed 24 Feb 2016

On Monday, 15th February I took a snapshot of the #NWU twitter conversation, as the on going student protests in South Africa developed.

Made with NODEXL Graph-63598The graph represents a network of 1,294 Twitter users whose recent tweets contained "#NWU", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 24 February 2016 at 17:30 UTC. Source

It’s important to note that this story has developed quickly and this snapshot was taken up to the date of 24 February 2016 at 17:26 UTC.

The tweets in the network were tweeted over the 9-day, 4-hour, 26-minute period from Monday, 15 February 2016 at 13:00 UTC to Wednesday, 24 February 2016 at 17:26 UTC. There is an edge for each “replies-to” relationship in a tweet, an edge for each “mentions” relationship in a tweet, and a self-loop edge for each tweet that is not a “replies-to” or “mentions”. The graph is directed. The graph’s vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm. The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

So what does all that mean? It means we can look at the ‘virtual crowd’ and the conversation on twitter and see what content people were sharing and talking about. We can also look to see for key moments in this conversation. I start simply by showing the top tweet and top audio from the week, along with some Google Trend search behaviour.

[stag_icon icon=”bar-chart” url=”” size=”50px” new_window=”no”] Top links in entire graph

[stag_icon icon=”code-fork” url=”” size=”50px” new_window=”no”] Explore the data. 

To see the map fully and extend all the top links within groups, please visit the maps submission at the NodeXL Gallery.  A network of 1,294 Twitter users were sampled whose recent tweets contained “#NWU”, or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets.

[stag_icon icon=”twitter” url=”” size=”50px” new_window=”no”] Top tweet:

[stag_icon icon=”soundcloud” url=”” size=”50px” new_window=”no”] Top audio:

NWU Google Trend South Africa

[stag_icon icon=”hashtag” url=”” size=”50px” new_window=”no”] For more on this developing story follow: @ewnreporter and @barrybateman