In a small-world network, this value d median is expected to be as small as that of a random graph: even though the random graph has edges more uniformly distributed, the small-world network has many locally-connected components which are connected via hubs.
these models have provided insight about underlying mechanisms of word learning, but none of them consider the semantic relations that hold among words, or how the semantic knowledge is structured.