Network Sampling: Methods and Applications (original) (raw)

This paper discusses various methods for network sampling and their applications, focusing on the exploration of network characteristics such as clustering coefficients, diameter, and centrality measures. It presents sampling techniques under restricted access and data streaming conditions, illustrating their effectiveness in analyzing large networks through methodologies like Streaming Uniform Node Sampling and Partially Induced Edge Sampling (PIES). The findings contribute to improved understanding and strategies for network analysis in various domains.