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This week in Neo4j - 20th January 2018

Discover what's new in the Neo4j community for the week of 20 January 2018, including projects around Kotlin, Categorical PageRank, and Dynamic Rule Based Decision Trees.

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This week in Neo4j - 20th January 2018

  1. 1. This Week in Neo4j 20th January 2018
  2. 2. The week's graph database news in one handy slide deck!
  3. 3. Featured community member: Alberto Perdomo @albertoperdomo
  4. 4. Thomas Frisendal has another installment of his series on Knowledge Graphs. In this post Thomas wonders why knowledge graphs are getting so much attention and describes an architecture for the finance industry with a knowledge graph at its heart. Knowledge graphs: Why?
  5. 5. Neo4j Categorical Pagerank Tomaz Bratanic wrote a post showing how to apply Kenny Bastani's categorical PageRank to a Game of Thrones dataset using Neo4j graph algorithms.
  6. 6. On the podcast: Jes�s Barrasa This week on the podcast Rik interviews my colleague Jes�s Barrasa about his new job leading the telecoms practice at Neo4j. Jesus explains the common use cases he sees for graphs in the telecom space such as dependency modelling and root cause analysis and his hopes that graphs will become ubiquitous in this space.
  7. 7. Dynamic Rule Based Decision Trees using Neo4j. Max De Marzi wrote a blog post in which he showed how to build a dynamic rule based decision trees using Neo4j. In the post Max explains how to write a procedure that explores rules using the Neo4j Traversal API and evaluates predicate expressions using the Janino Java compiler.
  8. 8. How Graphs Changed The Way Hackers Attack At GraphConnect NYC 2017 Andy Robbins talked about BloodHound, a tool he created that uses graph theory to show how attackers breach and take over modern corporate network.
  9. 9. If you liked this check out the blog post