(Covid-19) Contact tracing follow-up - demo movies
In my previous post I outlined the 4 different blogposts that I wrote about using the Neo4j Graph Database for Contact Tracing. Each of these posts is actually interesting in and of its own, and actually makes for a really nice demo of the capabilities in Neo4j. So I created those today - and put them on a Youtube playlist for you:
The individual videos as they relate to the different posts are of course also available:
- Part 1: how I go about creating a synthetic dataset, and import that into Neo4j
- Part 2: how I can start running some interesting queries on the dataset, making me understand some of the interesting data points in there and questions that one might ask
- Part 3: how I can use graph data science on this dataset, and understand some of the predictive metrics like pagerank, betweenness and use community detection to direct policies
- Part 4: a number of loose ends that I touched on during my exploration - but surely did not exhaust.
Hope this is all useful for you. Comments and questions always welcome!
Cheers
Rik
Labels: bloom, contact tracing, covid-19, graph data science, graph database, graphdb, neo4j, neomap, pandemic, spatial

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