Traditional psychology often studies individuals in isolation. Network science reframes behavior as emerging from connections among people and variables. This episode introduces network measures like density and reciprocity, and models such as ERGMs and latent‑space approaches, to reveal hidden social structures and pathways of influence. Applications span social influence, co‑evolution of networks and behavior, and network psychometrics, where relationships among psychological variables themselves form a network. By bridging quantitative methodology with human science, the paper invites psychologists to adopt network thinking as a new paradigm. Produced by Cognivault — insight, intelligence, and innovation made clear.