It uses two ideas: first, that vectors for polysemous words can be decomposed into a convex combination of sense vectors; secondly, that the vector for a sense is kept similar to those of its neighbors in the network.
a very large number of words are monosemous, and the procedure will leave the embeddings of these words unchanged.