Last weekend, Engagor organised their hacktheelections hackaton. The Datablend team (Quentin, Stijn and Davy) was joined by Marc Broos, Tim Coene and Josbert van de Zande with one goal in mind: trying to visualise the (pre-arranged?) political coalition and, if possible, also predict the formation-period. Technically, we extracted over 160K tweets through the Engagor API.
Watch Davy Suvee present at GraphConnect London 2013 on the power of graph databases to analyse biological datasets. The Power of Graphs to Analyze Biological Data – Davy Suvee @ GraphConnect London 2013 from Neo Technology on Vimeo.
Recently, Yelp made available a sample dataset from the greater Phoenix metropolitan area including around 11.000 business, 8000 checkin-sets, 43.000 users and 230.000 user reviews. With the help of this data, data scientists can execute real-life experiments with various data mining/machine learning algorithms. In our case, we are interested in finding out whether it is possible
When I started running some years ago, I bought a Garmin Forerunner 405. It’s a nifty little device that tracks GPS coordinates while you are running. After a run, the device can be synchronized by uploading your data to the Garmin Connect website. Based upon the tracked time and GPS coordinates, the Garmin Connect website
Last week, the Neo4J plugin for Gephi was released. Gephi is an open-source visualization and manipulation tool that allows users to interactively browse and explore graphs. The graphs themselves can be loaded through a variety of file formats. Thanks to Martin Škurla, it is now possible to load and lazily explore graphs that are stored