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Community detection in temporal multilayer networks, with an application to correlation networks

Abstract:

Networks are a convenient way to represent complex systems of interacting entities. Many networks contain “communities” of nodes that are more densely connected to each other than to nodes in the rest of the network. In this paper, we investigate the detection of communities in temporal networks represented as multilayer networks. As a focal example, we study time-dependent financialasset correlation networks. We first argue that the use of the “modularity” quality function—which is defined b...

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Publication status:
Accepted
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
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Name:
European Commission
Grant:
FET-Proactive project PLEXMATH (FP7-ICT-2011-8
grant 317614
More from this funder
Name:
Engineering and Physical Sciences Research Council
Grant:
BK/10/41
Keywords:
Pubs id:
pubs:545494
UUID:
uuid:f69b2055-714c-4868-96e6-cf207e17ad78
Local pid:
pubs:545494
Source identifiers:
545494
Deposit date:
2015-09-16

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