This week, our challenge explores the EuroVision competition using network mining techniques . Give it some thought!
Here is the challenge. Let’s use this thread to post our solutions to it, which should be uploaded to your public KNIME Hub spaces with tag JKISeason2-8 .
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Hello everyone. Here is my solution, where I also decided to go a bit beyond the basic requirements of the assignment and created a pipeline to insert the data into Neo4j — a native graph database.
This approach is useful from multiple perspectives:
the data is already represented in the graph
you can visualize it pretty much the same way as the assignment asks for
it possible to use graph data science algorithms
it helps to easily answer such important question as who liked both Portugal and Estonia the most in 2018.
The Chord Diagram is a really useful way to create a network that shows the relationship between pairs of countries and their voting choices. You can hover over one particular country on the Chord Diagram to more easily see the network for that country:
I was already working on my take with ‘Multiple-Group Chord Diagram’ ; when @HeatherPikairos ’ solution just popped up in challenge’s topic. Just congrats for the great work and very clean Java charts.
For this approach I am also using a Chord Diagram, but maybe more focused on analysis. I’ve had to code it in R, as my Java skills just trend to 1E-2 . R ‘circlize’ package has a lot of fun as colours in chart are random.
I guess total points since the first year would give kind of voting trends by country.
Node size means sum of points given by a country you selected, line width, sum of points of “From” or “To”. Blue and red lines mean “From” and “To” respectively.
Some debugging in podium chart and an added Sunburst has happened since my lastest post. The reason I am not working with Network Mining nodes is because I already experimented with them in JKI S1 CH35 (LinkedIn Network Graph), and I like to experiment with visualizations that I hadn’t used before.
This is a capture for the same dashboard query configuration as it looks like now:
Disfruto más que un en un charco
He querido implementar para seguir aprendiendo del los nodos geoespaciales, los cuales, me parecen una autentica bestialidad. Igual en esta ocasión no era su mejor utilidad, pero aún así lo he disfrutado y sobre todo, he aprendido el potencial que tiene