for second iteration , old authority of A should be 3/15 :)

You explained it very very well because i completely undeerstood this

Very clear explanation , thanks

so after the algorithm starts, it does not distinguish between authority nodes and hub nodes while adding up the scores. It is only after the k iterations are over, we again classify the nodes, and identify the more relevant authority and hub nodes as the ones with the largest scores.

Could the authority score of page C be wrong? I get 0.37

Wow, this is the clearest explanation of the HITS algorithm that I've found on the internet. Thanks.

what does the meaning of converging in hit algorith?

great video! seriously

Thank you!

Such a great video, thank you for explaining this algorithm!

Thanks for the video with the go through example. Helped me understand the problem very well

Thank you for the video, it makes a lotta sense for me now

Does Google Algo use the HITS Algorithm? I think they do

Is there another way to normalize the initial authority and hub scores of 1 instead of dividing by the total amount of nodes? I have seen ap/c where c= sqrrt(sum(a^2) but do not know how to implement it

Clear explanation. Thanks

I think you're supposed to calculate the Hub score based on the current iteration's Authority score, not the previous iteration's.