Technically, we extracted over 160K tweets through the Engagor API. Next, a “sentiment”-based political graph was build and stored in the Neo4J graph database. A Gephi-based visualisation, based upon community detection, revealed the “truth”, which was, to be honest, a bit disappointing and at the same time somewhat expected: the political parties from Wallionia form a solid community while the Flemish parties are interconnected through many clusters. A warning sign for the upcoming formation process?

The slidedeck below provides an overview of the single day of hacking. Our results ranked third (on 8 teams). Although being very informative, it’s quite hard to compete with a “pokemon”-themed fighting animation between politicians *wink*. Many thanks to Engagor for the spotless organisation!