Graphistania 2.0 - Episode 6 - The One with the CovidGraph

So, when I started working with Graphs in 2012, one of the first community use cases that I encountered was all about biotech. I met a few people from the University of Ghent, who were working on some amazing protein interaction networks - and it was fascinating. Over the years, we have done quite a few activities on this, and we have kind of built a nice life sciences and healthcare community around Neo4j. Some amazing work is being done there.

One of the most amazing cases out there, has been the use case of the German Center for Diabetes Research, who have been scouring the scientific universe for ways of finding cures against diabetes. Look at this brief video or read this article to know more about it:

Why am I telling you this? Well, with the global Covid-19 pandemic sweeping around the globe, and many of us being affected in small or big ways, our Neo4j Graph Community has been doing the most interesting things to try and apply the "power of the graph" to this complex and intricate problem. Take a look at covidgraph.org for their work. When I learned about it, I immediately thought about talking to some of the "chief instigators" and inviting them for a podcast interview - which we made happen at record speed :) ...

So here it is: a chat about Covid-19, and about how graphs will help us make sense of the data. Let's hope it proves to be useful.

Graphistania 2.0 - Episode 5 - This Month in Neo4j

Friends.

These are interesting times. These are difficult times, but we can deal with it together, as a community, as a graph. So that's why we were super happy that, just as Belgium was going into lockdown last week, we were able to record another Graphistania podcast episode for you, talking about the world in general, but also covering some of the amazing graph use cases that drifted over our screens in the past month, in the This Week in Neo4j (TWIN4J) newsletter.

There were actually many things to talk about, in terms of fascinating graph use cases, and I will highlight only the most striking ones here.

Our friends at Kineviz did some really interesting and timely work on  COVID-19 temporal and spatial data visualization. This stuff is really important to understand, as pandemic spreads clearly follow graph patterns. Read Connected if you are not convinced. 

Worth highlighting: Bloodhound: Windows network penetration testing with Neo4j, had a new release that you might want to take a look at. If you are not familiar with Bloodhound yet, you may also want to check out my interview with the Bloodhound crew on this podcast a while back. 

We published this fun little thing called a Neo4j Treasure Map - check it out! 

Finally - we also have a a Winegraph! It's a great example of importing data from the web using Norconex.  

Some interesting stuff on using Neo4j for Gene ID mapping: take a look! 

Another examle of enriching graphs with Wikidata, from the one and only Mark Needham: look at Mark's blog over here! 

Don't forget: we Introduced the Neo4j Graph Data Science plugin with examples from the "Graph Algorithms" book. 

A really interesting tweet about a visualisation of the US Supreme court as a graph db... Would love to see more like that. 

And for some fun: Pokégraph: Gotta Graph 'Em All! 

Some important stuff: we did a great 4.0 webinar that is giving you a lot of info on what to expect in the new version of Neo4j.  

There was a great update to NeoMap: Visualizing shortest paths with neomap ≥ 0.4.0 and the Neo4j Graph Data Science plugin.

Those were the most important ones. So let's talk about these now - I am sure there's a lot of cool stuff here fore everyone!