Ecological Network Tutorial - Modularity

[@KorawichKavee]

Your explanation is the one that did it to my head. Thank you.

[@Shivablue]

Comming from an Arts background, maths have always represented a challenge to me. But you have a gift explaining things! Oh it is so nice that you took the time to do this! Thank you so much!

[@nishadt]

A very nice explanation, I would love to see the video on Null model and resolution limit using modularity for community detection

[@XORBob]

Super helpful, Matthew. Thanks for posting!

[@myWorldDiscover]

Could you please explain why you use the square ? in the second part of the equation?

[@rohitariq3779]

Yes why they take square??

[@anisterki1116]

Thanks

[@hamidkazemiroodbali9506]

Very neat and clean video. Thank you very much.

[@csaa7659]

Great explanation. Thank you so much for this video.

[@shwetasinghmeena5472]

Sir, can you please upload a video on the example of louvain algorithm with a suitable graph?

[@kidinmind]

It is the best explanation of modularity thanks.

[@cristijora1437]

Thanks so much. This saved me some hours of reading. Very nicely explained

[@anaisanais3769]

is it possible to use the same formula for all community detection algorithms !!??

[@rohitariq3779]

Wawoo very informative.. thank you sir . Please could you upload such vedio for conductance metrics in community detection.

[@leilasamandari4078]

thank you so much for this wonderful video

[@lananhpro2734]

thank you so very much! This video is awesome!

[@vibesneverlie7212]

its a goood explanation for modularity calculation..very good video..

[@dheerajnair1998]

Thanks for the video! Helped me out in the last minute :)

[@MrLeugim33]

Thank you a lot for this video. It has helped me a lot ^^

[@sonamgupta9079]

very well explained thank you so much :) can you upload video on BRIM and LP(label Propagation). it will be very helpful for me

[@shwetasinghmeena5472]

why have you divided expected number by (2L) not by L ??

[@joshisanonymous]

I'm pretty sure this is done because that term is dealing with degree, not simply the total number of edges (L). Since an edge is always connected to two vertices, you can get the sum of the degrees for the whole graph by counting up all the edges and multiplying them by 2.

[@serafeiml1041]

thank you! nice explanation

[@samduce]

Thank you for this video.

[@TheFirstBK]

Nice bruh