Exact analysis of summary statistics for continuous-time discrete-state Markov processes on networks using graph-automorphism lumping

Exact analysis of summary statistics for continuous-time discrete-state Markov processes on networks using graph-automorphism lumping

Abstract We propose a unified framework to represent a wide range of continuous-time discrete-state Markov processes on networks, and show how many network dynamics models in the literature can be represented in this unified framework. We show how a particular sub-set of these models, referred to he...

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Bibliographic Details
Main Authors: Jonathan A. Ward, Martín López-García
Format: Article
Language:English
Published: SpringerOpen 2019-11-01
Series:Applied Network Science
Subjects:
Continuous-time Markov chain
Stochastic process
Network
Graph-automorphism
Lumping
Summary statistics
Online Access:http://link.springer.com/article/10.1007/s41109-019-0206-4

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http://link.springer.com/article/10.1007/s41109-019-0206-4

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