Random walk centrality and a partition of Kemeny's constant

Stephen J. Kirkland

Czechoslovak Mathematical Journal (2016)

  • Volume: 66, Issue: 3, page 757-775
  • ISSN: 0011-4642

Abstract

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We consider an accessibility index for the states of a discrete-time, ergodic, homogeneous Markov chain on a finite state space; this index is naturally associated with the random walk centrality introduced by Noh and Reiger (2004) for a random walk on a connected graph. We observe that the vector of accessibility indices provides a partition of Kemeny's constant for the Markov chain. We provide three characterizations of this accessibility index: one in terms of the first return time to the state in question, and two in terms of the transition matrix associated with the Markov chain. Several bounds are provided on the accessibility index in terms of the eigenvalues of the transition matrix and the stationary vector, and the bounds are shown to be tight. The behaviour of the accessibility index under perturbation of the transition matrix is investigated, and examples exhibiting some counter-intuitive behaviour are presented. Finally, we characterize the situation in which the accessibility indices for all states coincide.

How to cite

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Kirkland, Stephen J.. "Random walk centrality and a partition of Kemeny's constant." Czechoslovak Mathematical Journal 66.3 (2016): 757-775. <http://eudml.org/doc/286840>.

@article{Kirkland2016,
abstract = {We consider an accessibility index for the states of a discrete-time, ergodic, homogeneous Markov chain on a finite state space; this index is naturally associated with the random walk centrality introduced by Noh and Reiger (2004) for a random walk on a connected graph. We observe that the vector of accessibility indices provides a partition of Kemeny's constant for the Markov chain. We provide three characterizations of this accessibility index: one in terms of the first return time to the state in question, and two in terms of the transition matrix associated with the Markov chain. Several bounds are provided on the accessibility index in terms of the eigenvalues of the transition matrix and the stationary vector, and the bounds are shown to be tight. The behaviour of the accessibility index under perturbation of the transition matrix is investigated, and examples exhibiting some counter-intuitive behaviour are presented. Finally, we characterize the situation in which the accessibility indices for all states coincide.},
author = {Kirkland, Stephen J.},
journal = {Czechoslovak Mathematical Journal},
keywords = {stochastic matrix; random walk centrality; Kemeny's constant},
language = {eng},
number = {3},
pages = {757-775},
publisher = {Institute of Mathematics, Academy of Sciences of the Czech Republic},
title = {Random walk centrality and a partition of Kemeny's constant},
url = {http://eudml.org/doc/286840},
volume = {66},
year = {2016},
}

TY - JOUR
AU - Kirkland, Stephen J.
TI - Random walk centrality and a partition of Kemeny's constant
JO - Czechoslovak Mathematical Journal
PY - 2016
PB - Institute of Mathematics, Academy of Sciences of the Czech Republic
VL - 66
IS - 3
SP - 757
EP - 775
AB - We consider an accessibility index for the states of a discrete-time, ergodic, homogeneous Markov chain on a finite state space; this index is naturally associated with the random walk centrality introduced by Noh and Reiger (2004) for a random walk on a connected graph. We observe that the vector of accessibility indices provides a partition of Kemeny's constant for the Markov chain. We provide three characterizations of this accessibility index: one in terms of the first return time to the state in question, and two in terms of the transition matrix associated with the Markov chain. Several bounds are provided on the accessibility index in terms of the eigenvalues of the transition matrix and the stationary vector, and the bounds are shown to be tight. The behaviour of the accessibility index under perturbation of the transition matrix is investigated, and examples exhibiting some counter-intuitive behaviour are presented. Finally, we characterize the situation in which the accessibility indices for all states coincide.
LA - eng
KW - stochastic matrix; random walk centrality; Kemeny's constant
UR - http://eudml.org/doc/286840
ER -

References

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  4. Kirkland, S. J., Neumann, M., Group Inverses of M-matrices and Their Applications, CRC Press, Boca Raton (2013). (2013) Zbl1267.15004MR3185162
  5. Kirkland, S. J., Neumann, M., Shader, B. L., 10.1023/A:1022455208972, Czech. Math. J. 47 (1998), 1-20. (1998) Zbl0931.15012MR1614056DOI10.1023/A:1022455208972
  6. Levene, M., Loizou, G., 10.2307/3072398, Am. Math. Mon. 109 (2002), 741-745. (2002) Zbl1023.60061MR1927624DOI10.2307/3072398
  7. Meyer, C. D., 10.1137/S0895479892228900, SIAM J. Matrix Anal. Appl. 15 (1994), 715-728. (1994) Zbl0809.65143MR1282690DOI10.1137/S0895479892228900
  8. Noh, J., Reiger, H., Random walks on complex networks, Physical Review Letters 92 (2004), 118701, 5 pages. (2004) 
  9. Seneta, E., Non-Negative Matrices and Markov Chains, Springer Series in Statistics Springer, New York (1981). (1981) Zbl0471.60001MR2209438

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