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Category gephi

Coalition-Cocktail – Hacking the Elections @ Engagor

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.

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Yelp graph: checkin-based business clustering

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

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Visualizing RDF Schema inferencing through Neo4J, Tinkerpop, Sail and Gephi

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

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