Characterization of tail dependence for in-degree and PageRank

Litvak, Nelly and Scheinhardt, Werner and Volkovich, Yana and Zwart, Bert (2009) Characterization of tail dependence for in-degree and PageRank. In: 6th International Workshop on Algorithms and Models for the Web-Graph, WAW 2009, 12-13 February 2009, Barcelona, Spain.

PDF
Restricted to UT campus only: Request a copy
455Kb

Abstract:	The dependencies between power law parameters such as in-degree and PageRank, can be characterized by the so-called angular measure, a notion used in extreme value theory to describe the dependency between very large values of coordinates of a random vector. Basing on an analytical stochastic model, we argue that the angular measure for in-degree and personalized PageRank is concentrated in two points. This corresponds to the two main factors for high ranking: large in-degree and a high rank of one of the ancestors. Furthermore, we can formally establish the relative importance of these two factors.
Item Type:	Conference or Workshop Item
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Stochastic Operations Research (SOR)
Link to this item:	http://purl.utwente.nl/publications/62760
Official URL:	http://dx.doi.org/10.1007/978-3-540-95995-3_8
Export this item as:	BibTeX EndNote HTML Citation Reference Manager

Show download statistics for this publication

Repository Staff Only: item control page

Metis ID: 263754