Matrices of forests, analysis of networks, and ranking problems

05/28/2013
by   Pavel Chebotarev, et al.
0

The matrices of spanning rooted forests are studied as a tool for analysing the structure of networks and measuring their properties. The problems of revealing the basic bicomponents, measuring vertex proximity, and ranking from preference relations / sports competitions are considered. It is shown that the vertex accessibility measure based on spanning forests has a number of desirable properties. An interpretation for the stochastic matrix of out-forests in terms of information dissemination is given.

READ FULL TEXT
research
08/09/2005

Matrices of Forests and the Analysis of Digraphs

The matrices of spanning rooted forests are studied as a tool for analys...
research
02/17/2020

Transmission and navigation on disordered lattice networks, directed spanning forests and scaling limits

Stochastic networks based on random point sets as nodes have attracted c...
research
10/17/2019

Smoothing graph signals via random spanning forests

Another facet of the elegant link between random processes on graphs and...
research
11/30/2018

Decision Forests Induce Characteristic Kernels

Decision forests are popular tools for classification and regression. Th...
research
05/25/2023

Differentiable Clustering with Perturbed Spanning Forests

We introduce a differentiable clustering method based on minimum-weight ...
research
11/20/2020

Graph Tikhonov Regularization and Interpolation via Random Spanning Forests

Novel Monte Carlo estimators are proposed to solve both the Tikhonov reg...
research
02/07/2012

Information Forests

We describe Information Forests, an approach to classification that gene...

Please sign up or login with your details

Forgot password? Click here to reset