It turns out that most genderspecific words (except for he, she, daughter, aunt) in L are contained in the hub words of the word association graph, while none of them lie within those of the embedding-based graphs.
there is no wonder that L in the word association graph could distribute its gender information to other words in the graph more efficiently, leading to better performance in detecting gender bias of words.