Twitter analysis for the Swiss Parliament election.
With this analysis, we can provide an overview how government peoples are talking on Twitter and how popular they are. Furthermore, an overview how peope are mentioned by other is provided. This is impressive how they are talking to each other between politics party.
Chatting at the Parliament
About 100 parliamentarians own a Twitter account. 74 of them used their accounts during the election in spring 2016 and published 1565 tweets (RT not included). They are interpreted in this project.
More in details
In this visualization, each bubble is a tweet written by an elected member (RT not included).
Each bubble is positionned based on two parameters: time and number of personne who have seen it. The time is represented on the X axe, from the first to the last day of the parliament session. The vertical axe provide an estimation about the number of people reached by the tweet (= number of people who could see it on their own timeline).
The bubble size provide an estimation about the tweet popularity. This popularity is based on the number of actions taken by the Twitter users on this specific tweet (= number of people who RT it or marked it as favorite).
How does it work?
With your mouse (or finger on touch-sensitive screen) click on bubbles to have further informations. It is also possible to filter tweets by elected member or political party with the graphical interface on the top of the page. Furthermore, it is possible to zoom in a specific time window within the grey zone under the graphic.
What does it say?
For example, socialist are the most present on Twitter: 26 elected member published 643 tweets during this time window. The Green party were the most active: 7 elected member published 295 tweets (42 tweets in average vs 24 for socialist). Based on the bubble size, it shows that the tweets from environmentalist are more popular than the ones from PDC. Finally, we can see that even if the 10 PLR elected member used the social network more than the 9 from the UDC party, they still have less visibility.
Twitter Parliament Network
When an elected member publish a tweet, he will mention on of his colleague.
What kind of network is created? Who’s talking about whom? Who’s talking to whom? Who are the best 2.0 networker?
More in details
Our visualization shows who is mentionning their colleagues in their tweets during the 2015 summer session, and how many times.
Each line correspond to an elected member, for example Jean-Christophe Scwab qho was the most active at this game on Twitter during the summer session. Around the half-circle, colored points and strokes represents other elected member present on Twitter, classed by politicl party (colored by the party color). The lenght of the stroke if proportional to the number of tweets where they were mentionned by the elected member (like for Mr. Schwab)