Adding Community detection example jupyter notebook

[kedarghule]

Hi,

This is a PR to add an example jupyter notebook for community detection on the Reddit Hyperlink Network dataset.

This is in reference to my comment in the issue: #254

Thank you :)

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[kedarghule]

@FlorentinD as per your comment, I've opened the PR :) Do let me know your thoughts on this.

[FlorentinD]

Thanks again for the example!

If we clean up this notebook a bit and add some more explanation I think its good to merge :)

[FlorentinD]

Did you draw some conclusions about the created communities?

Maybe we could also add a section about visualizing the community.
I would suggest to just link to Bloom which users can follow up on if they like

[kedarghule]

Oh yeah, I'm glad you mentioned this. I wanted to know how do I visualize them. Currently I am using a Sandbox (neo4jsandbox.com) for this. Could you please link a help document or something that might guide me with that?

[kedarghule]

Hey @FlorentinD thanks for the review! I learnt a lot :) I've made the changes. Let me know about anything else.
Also, I'm not sure how to use Bloom to visualize the communities. I'll take a look into that. And also 3 status checks are still "expected", I don't know what to do about them.

[FlorentinD]

@kedarghule glad I could help!
I put up a PR based on your changes as CI is not triggering on your PR for some reason.
Also did some smaller changes on top. Lets continue the conversation there :)

About Bloom:

First you open Bloom from Sandbox as shown in .
Then you can load the scenery for the hyperlink relationships and set a rule based coloring of the nodes as shown in
.

[kedarghule]

@kedarghule glad I could help! I put up a PR based on your changes as CI is not triggering on your PR for some reason. Also did some smaller changes on top. Lets continue the conversation there :)

About Bloom:

First you open Bloom from Sandbox as shown in . Then you can load the scenery for the hyperlink relationships and set a rule based coloring of the nodes as shown in .

Oh okay! I see. Thank you for that!