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Title : Sampling bias when crawling networks
Title : Sampling bias when crawling networks
Author: Tobias Hoßfeld
Short Description:
When sampling large-scale networks like social networks, a straightforward methods is to use breadth first search (BFS). However, BFS introduces a bias towards high-degree nodes. Correction methods or other sampling methods are required to quantify topological characteristics like the node degree.
Keywords:
Crawling
Graph Sampling
Metropolis Hastings
Breadth-First Search