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Graph analysis is all about finding relationships. In this post I show how to compute graph density (a ratio of how well connected relationships in a graph are) using a Cypher query with Neo4j. This is a follow up to the earlier post: SPARQL Query for Graph Density Analysis. Installing Neo4j Graph Database In this example we launch Neo4j and […]
Code snippet: SPARQL Query Graph Density I’m testing out sharing SPARQL code snippets using Github Gist features. I’ll be adding more as I work through more graph-specific examples using SPARQLverse, but here is my first one: View the code on Gist. Ideally we’d have a common landing place for building up a library of these […]
In preparation for a post about doing graph analytics in Neo4j (paralleling SPARQLverse from this earlier post), I had to learn to load text/CSV data into Neo. This post just shows the steps I took to load nodes and then establish edges/relationships in the database. My head hurt trying to find a simple example of […]
Graph analytics – is it just hype or is it technology that has come of age? Mike Hoskins, CTO of Actian sums it up well in this article from InfoWorld: “One area where graph analytics particularly earns its stripes is in data discovery. While most of the discussion around big data has centered on how to […]
I’ve been spending a lot of time this past year running queries against the open source SPARQLverse graph analytic engine. It’s amazing how simple some queries can look and yet how much work is being done behind the scenes. My current project requires building up a set of query examples that allow typical kinds of graph/network […]
I pulled this visualization of my LinkedIn social graph together in just a few minutes while working through a tutorial. What about other social networks? Give me your input…
