Part I of our series on graph analytics introduced us to graph analytics, and its brethren graph databases. We talked about the use of graph analytics to understand and visualize relationships between ...

How would you feel if you saw demand for your favorite topic — which also happens to be your line of business — grow 1,000% in just two years’ time? Vindicated, overjoyed, and a bit overstretched in ...

A couple of weeks ago, I attended and spoke at the first stop in the Neo4j GraphTour in Washington D.C. and I was able to get the best answer yet to a question that I’d been pondering: what’s the ...

Knowledge graphs are hyped. We can officially say this now, since Gartner included knowledge graphs in the 2018 hype cycle for emerging technologies. Though we did not have to wait for Gartner -- ...

Polyglot persistence is becoming the norm in big data. Gone are the days when relational databases were the one store to rule them all; now the notion of using stores with data models that best align ...

A pair of mathematicians solved a legendary question about the proportion of vertices in a graph with an odd number of connections. “It’s a bit of a surprise, at least for me, that such a combination ...

Debate and discussion around data management, analytics, BI and information governance. This is a guest blogpost by Emil Eifrem, co-founder and CEO at Neo4j. He writes on why he thinks graph ...

Emily Granger is supported by the Medical Research Council. Lucy Teece is supported by the UK National Institute for Health Research (NIHR) Applied Research Collaboration East Midlands (ARC EM). Craig ...

Greetings, fellow graphians! If you're like me, nothing grabs your attention quite like a diagrammatical illustration of a set of data. Frankly put: Graphs. Kick. Ass. When you think of emojis, you ...

Another difference between normal people and statisticians: A normal person might say "high school; those were the happiest days of my life," whereas statisticians tend to be more particular in ...