"Random Walk"

Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness

Random walk is widely applied to sample large-scale graphs due to its simplicity of implementation and solid theoretical foundations of bias analysis. However, its computational efficiency is heavily limited by the slow convergence rate (a.k.a. long …

Measuring and Maximizing Influence via Random Walk in Social Activity Networks

With the popularity of OSNs, finding a set of most influential users (or nodes) so as to trigger the largest influence cascade is of significance. For example, companies may take advantage of the “word-of-mouth” effect to trigger a large cascade of …