Graph Story Newsletter for Friday, Sept 9, 2016

A Song of Vertices and Edges

Big RAM Neo4j Instances on Google Compute Engine


Do you need a phat, RAM-heavy virtual machine for Neo4j? It’s worth checking out what Graph Story offers on Google Compute Engine. A 4-core instance with 26GB RAM costs less than an AWS 4-core instance with 15GB. More RAM, less money, seems legit. More and more of our customers are getting on GCE because of the pricing we can offer. Check out our pricing page for more info.

NDP Episode #9: Graph Databases with Neo4j


On the latest episode of the NoSQL Database Podcast, host Nic Raboy is joined by Neo4j developer relations person Ryan Boyd to talk about some key advantages that graph databases have, and why they’re so much better than alternatives in modeling relationships. There’s important info here for winning database arguments with your friends and colleagues.

Analyzing the Graph of Thrones


Man, isn’t Game of Thrones cool? Not the books because I don’t read, but the show with the blood and the nudity and the swords. That is awesome. You know what else is awesome? Graphs. Let’s combine them!

William Lyon did just that with his article “Analyzing the Graph of Thrones,”which breaks down analysis of the GoT social graph. It’s a great read, in particular because it does an excellent job of explaining several graph metrics like “betweenness centrality” and “pivotal nodes” and other smart words. Then the author pulls it into python-igraph, a port of an R graph analysis library, to do stuff like calculate page rank and community detection. The examples are straightforward and comprehensible, and there’s tons to learn from here.

Power a Github Notification Bot for Issue Reviewers with Graph Based NLP


Our boy Christophe Willemsen over at GraphAware wrote up a really interesting blog about building a bot that automatically chooses and notifies reviewers for GitHub pull requests. He uses the APOC procedures library and the GraphAware Natural Language Processing plugin for Neo4j, which is totally going to available real soon now. It’s a good breakdown on how you would load external data into Neo4j and use NLP to analyze and make conclusions about your dataset.

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Are you doing something cool with graphs at Graph Story? Let us know! We want to talk about what our customers are doing here in the newsletter.

Until next week,

Ed Finkler
CTO, Graph Story

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