The document presents an overview of community structures in network science, highlighting the concepts of network function, community detection algorithms, and the measure of modularity for evaluating community partition quality. It discusses various examples of networked systems, such as social and friendship networks, and methods for detecting communities, including agglomerative and divisive techniques. Additionally, it explores the application of community detection in framing analysis, specifically within the context of news articles related to population and family planning.