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Category neo4j

The power of Manchester City: a data analysis

What makes Manchester City such a great team? The infographic below illustrates one of the teams most powerful characteristics: its successful passing capability. The visualisation is based upon the Opta dataset released in August 2011, containing the high detailed Bolton vs Manchester City match statistics. The data has been loaded in the neo4j graph databases

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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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