The document discusses social networks and computer science. Some key points: 1. Social networks can be represented as graphs with people as vertices and relationships as edges. Quantitative analysis looks at graph properties and constructs models to explain them. 2. Computer science can help study large-scale social networks through processing power, storage, and algorithms. Areas of study include network structure, how networks change over time, and designing tools to monitor/predict changes. 3. Structural properties like degree distribution, connected components, and small world phenomena are observed in social networks. The dynamics of link formation, homophily, and positive/negative links are also examined.