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Grindrod P, Higham DJ. A dynamical systems view of network centrality. Proc Math Phys Eng Sci. 2014;470(2165):20130835doi: 10.1098/rspa.2013.0835.
Grindrod, P., & Higham, D. J. (2014). A dynamical systems view of network centrality. Proceedings. Mathematical, physical, and engineering sciences, 470(2165), 20130835. https://doi.org/10.1098/rspa.2013.0835
Grindrod, Peter, and Higham, Desmond J. "A dynamical systems view of network centrality." Proceedings. Mathematical, physical, and engineering sciences vol. 470,2165 (2014): 20130835. doi: https://doi.org/10.1098/rspa.2013.0835
Grindrod P, Higham DJ. A dynamical systems view of network centrality. Proc Math Phys Eng Sci. 2014 May 08;470(2165):20130835. doi: 10.1098/rspa.2013.0835. PMID: 24808758; PMCID: PMC3973397.
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Proc Math Phys Eng Sci. 2014 May 08;470(2165):20130835. doi: 10.1098/rspa.2013.0835.

A dynamical systems view of network centrality.

Proceedings. Mathematical, physical, and engineering sciences

Peter Grindrod, Desmond J Higham

Affiliations

  1. Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK.
  2. Department of Mathematics and Statistics , University of Strathclyde , Glasgow G1 1XH, UK.

PMID: 24808758 PMCID: PMC3973397 DOI: 10.1098/rspa.2013.0835

Abstract

To gain insights about dynamic networks, the dominant paradigm is to study discrete

Keywords: algorithms; matrix computation; matrix logarithm; networks; online behaviour; real-time monitoring

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