The Second Eigenvalue of the Google Matrix

By Taher H. Haveliwala, Sepandar D. Kamvar. 2003

349 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/962770004628910ed8a918b392e11da657d3d7ba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Andries E. Brouwer
2. Robert N. Shorten
3. J. Demmel
4. R. Vuduc
5. Oliver Mason
6. Willem H. Haemers
7. Pavel Berkhin
8. Leonid Gurvits

Citations in the corpus

• A Survey on PageRank Computing (2005, methodology): “This amazing fact, first proven by [Haveliwala and Kamvar, 2003], is important for extrapolation.”
• Adaptive methods for the computation of PageRank (2004, background): “85 [4]) due to the structure of the Google matrix [4].”
• On the Stability of Switched Positive Linear Systems (2007, background): “[ 4 ]. Recently, new studies in communication systems [5], formation flying [6], and other areas,”
• Spectra of Graphs (2011, background): “The constant α regulates the speed of convergence: convergence is determined by the 2nd largest eigenvalue, which is bounded by α ([227]).”
• Automatic performance tuning of sparse matrix kernels (2003, background): “The structure of this matrix is very special, and there have been a number of early characterizations of the structure of this matrix [184, 150, 183, 220, 243].”