We use the Skip-gram (Mikolov et al., 2013a) strategy in Word2Vec, which uses the central word in a sliding window with radius R to predict other words in the window and make local optimizations.
let ω = rw(α) denote the full walk streams obtained from truncated random walks in Section 3.1.1.