SIIRSOC-PHMay 30, 2015

Random Surfing Without Teleportation

arXiv:1506.00092v28 citations
Originality Synthesis-oriented
AI Analysis

This addresses ranking quality issues in web search and network analysis, but appears incremental as it builds on existing frameworks.

The paper tackles the problem of the teleportation matrix causing limitations in PageRank quality by deriving conditions for random surfing without teleportation, building on the NCDawareRank framework to ensure well-defined ranking vectors.

In the standard Random Surfer Model, the teleportation matrix is necessary to ensure that the final PageRank vector is well-defined. The introduction of this matrix, however, results in serious problems and imposes fundamental limitations to the quality of the ranking vectors. In this work, building on the recently proposed NCDawareRank framework, we exploit the decomposition of the underlying space into blocks, and we derive easy to check necessary and sufficient conditions for random surfing without teleportation.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes