This is the resulting retweet network of users during the time the President was delivering his speech (4:00PM to 5:40PM). The bigger the nodes, the more their tweets got retweeted by those “surrounding” them in the visualisation. Accounts @ABSCNNews @ANCALERTS @govph @gmanews @MadamCharo (a parody account) top the list of “influencers” (in terms of information spreading). Note that the colours were automatically generated using a community detection algorithm, which essentially clusters the users into groups based on the kind of information they are sharing (read as: who they are following/retweeting).
This is the resulting retweet network of users talking about #SONA2014 from the day BEFORE the SONA to a few hours after it was delivered. The bigger the nodes, the more their tweets got retweeted by those “surrounding” them in the visualization. You can think of these big nodes as “hubs” when it comes to the spreading of information across the network. Here, the edges have been removed for the purpose of visualisation.
This is a word cloud from tweets on the #SONA2014 before the speech was delivered. The focus seems to be on the protests happening along Commonwealth Avenue near the Batasan Complex where Aquino delivered his fifth SONA. Interesting as well is Nancy Binay’s name appearing in the cloud. Apparently, the tweets were about her gown. The word “gown” is somewhere in the cloud as well.
Shown is a timeline with an inset of the word cloud from tweets posted during the President’s SONA. People tweeting were clearly following his speech during this time.
This is the word cloud formed from tweets on the SONA after the President delivered his speech.
Special thanks to my ever reliable Macbook Air (the one I used for both data mining and analytics).