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Generalized master equations for non-Poisson dynamics on networks.

Abstract:

The traditional way of studying temporal networks is to aggregate the dynamics of the edges to create a static weighted network. This implicitly assumes that the edges are governed by Poisson processes, which is not typically the case in empirical temporal networks. Accordingly, we examine the effects of non-Poisson inter-event statistics on the dynamics of edges, and we apply the concept of a generalized master equation to the study of continuous-time random walks on networks. We show that t...

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Publisher copy:
10.1103/physreve.86.046102

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
Journal:
Physical review. E, Statistical, nonlinear, and soft matter physics
Volume:
86
Issue:
4 Pt 2
Pages:
046102
Publication date:
2012-10-01
DOI:
EISSN:
1550-2376
ISSN:
1539-3755
Source identifiers:
367637
Language:
English
Pubs id:
pubs:367637
UUID:
uuid:143b52e7-c836-4057-9c8d-0da333bccc6a
Local pid:
pubs:367637
Deposit date:
2013-11-17

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