Social networks are especially applicable in educational and psychological studies involving social interactions. A social network is defined as a specific relationship among a group of individuals. Social networks arise in a variety of situations such as friendships among children, collaboration and advice seeking among teachers, and coauthorship among psychologists. Quantitative methods for the analysis of social networks are equally as broad and include both descriptive and inferential methods. These methods are often unique, due to complex interdependencies among social ties, and are typically distinct from other methods in education and psychology. In this article, I review common descriptive methods and network models used in inference. In addition, I illustrate these methods using real-world advice-seeking networks to both provide a context for these methods and identify potential research questions that can be addressed with these methods.