The article explores how traders' networks affect the structure of financial markets using an artificial stock market model. Agents trade different types of stocks and share their sentiments through interactions in a sparsely connected network. The study shows that the network is crucial for replicating market trends, but the market also has inherent characteristics independent of the network. Overall, the stock market demonstrates structural resilience, with market structure indicators reflecting the effects of agents' networks on market dynamics.