DFS or BFS traversal would do to find the relationships in a network of
friends .
Traverse the graph and appropriately find the nodes (friends) which are at
one level below in a graph(tree).
As Linkedin does , it finds people connected to you at various levels of
depth as people connected at degree 1 and 2 and so.

On Tue, Jul 26, 2011 at 6:28 PM, Optimus Prime <[email protected]>wrote:

> I have no idea on what the 1st question is about as i have never used
> orkut...
> 1. Regarding the 2nd one. Maintain a adjacency list for both the
> user's friends.
> 2. Move through the friends of user 1 and mark them grey.
> 3. Move through the user 2 friends and mark them grey if not marked
> and mark them black if already grey.
> Finally traverse any 1 user's friends and pick out the black nodes
>
>
> On Jul 26, 4:56 pm, WgpShashank <[email protected]> wrote:
> > if geeks are Really Interested in Application of Graph then why not start
> > from Now :)
> >
> > 1. if you click on any orkut member's name you will notice the
> relationship
> > for both of you indicating through whom you are interconnected or in
> certain
> > cases you won't get this path. if you have to propose algorithm what
> would
> > be the one ...
> >
> > 2 . find the all common friends of between two friends in two friends.
> >
> > Will try to reply asap once it generated good discussion :)
> >
> > Shashank Mani
> > Computer Science
> > Birla Institute of Technlogy,Mesra
>
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-- 
Regards
Rajeev N B <http://www.opensourcemania.co.cc>

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