Algorithm to find lowest common ancestor in directed acyclic graph?

Den Roman’s link (Archived version) seems promising, but it seemed a little bit complicated to me, so I tried another approach. Here is a simple algorithm I used:

Let say you want to compute LCA(x,y) with x and y two nodes.
Each node must have a value color and count, resp. initialized to white and 0.

1. Color all ancestors of x as blue (can be done using BFS)
2. Color all blue ancestors of y as red (BFS again)
3. For each red node in the graph, increment its parents’ count by one

Each red node having a count value set to 0 is a solution.

There can be more than one solution, depending on your graph. For instance, consider this graph:

LCA(4,5) possible solutions are 1 and 2.

Note it still work if you want find the LCA of 3 nodes or more, you just need to add a different color for each of them.