In page rank we are multiplying Transpose Adjacency matrix with current page rank vector. If the result is stationary distribution it means it will converge and all values will stay same. We can think this as incoming probability to a node is equal to outgoing probability.
For detailed balance condition T(x'->x)P(x') = T(x->x')P(x) if the graph is undirected
So total flow of x' times fraction of flow to x T(x'->x) is equal to total flow of x times the fraction of flow from x to x' is equal means incoming and outgoing probability flow in the full duplex edge.
It is possible that, this concept is already originating from real physical phenomena such as fluid flow or air flow.
Subscribe to:
Post Comments (Atom)
Turkce-Ingilizce Tekerleme
I scream, you scream we all scream for ice scream I run, you run we all run for ayran
-
It is difficult to create robot that cleans our arbitrary dirty dishes. However , if we put some digital information on dishes (special des...
-
Real Time Transcription: In TV channels I realize that text is a little bit coming late after the speech. So , I think they are using...
-
Layoffs from cloud companies Amazon, Google and Microsoft is fade of Web2. But Metaverse is failed attempt to create Web3 so far. My perspec...
No comments:
Post a Comment