Without a new feature, it looks just like man. Everything you think of when you hear the word. Just write down all of the related words. Count the concepts in common. The more shared associates, the more similar two concepts are.
Related concepts are closer in distance.
As you access a concept in your network, close stuff comes out. For man you'd get female. Measured using the semantic differential. It's a scale with a list of word pairs, and you mark on a line where a particular concept falls. With these three dimensions, you can classify any concept's affective meaning.