Social science studies have shown that people are connected in a “small world.” In this network, people are connected with short path lengths and are highly clustered. To clarify how people in a small world acquire knowledge through communicative interactions, we constructed a multi-agent model and subsequently conducted a computer simulation. Results of the computer simulation showed that in a small world network, agents acquire correct and diverse knowledge. We discuss the adaptive nature of a small world network for knowledge acquisition.