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Journal article

Burstiness and fractional diffusion on complex networks

Abstract:

Many dynamical processes on real world networks display complex temporal patterns as, for instance, a fat-tailed distribution of inter-events times, leading to heterogeneous waiting times between events. In this work, we focus on distributions whose average inter-event time diverges, and study its impact on the dynamics of random walkers on networks. The process can naturally be described, in the long time limit, in terms of Riemann-Liouville fractional deriva...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1140/epjb/e2016-60947-3

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
Publisher:
Springer
Journal:
European Physical Journal B More from this journal
Volume:
89
Issue:
5
Pages:
114
Publication date:
2016-05-02
DOI:
EISSN:
1434-6036
ISSN:
1434-6028
Keywords:
Pubs id:
pubs:729439
UUID:
uuid:a1106835-2215-43a3-8010-459fe622324d
Local pid:
pubs:729439
Source identifiers:
729439
Deposit date:
2017-09-22

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