Estimating the Size of a Large Network and its Communities from a Random Sample
Lin Chen, Amin Karbasi, Forrest W. Crawford
–Neural Information Processing Systems
Most real-world networks are too large to be measured or studied directly and there is substantial interest in estimating global network properties from smaller sub-samples. One of the most important global properties is the number of vertices/nodes in the network.
Neural Information Processing Systems
Nov-21-2025, 07:53:47 GMT
- Country:
- Asia
- China > Chongqing Province
- Chongqing (0.04)
- Japan (0.04)
- Middle East > Iran
- Kerman Province > Kerman (0.04)
- China > Chongqing Province
- Europe > Spain
- Catalonia > Barcelona Province > Barcelona (0.04)
- North America
- Mexico > Mexico City
- Mexico City (0.04)
- United States (0.04)
- Mexico > Mexico City
- South America > Brazil
- Asia
- Industry:
- Technology: