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Communicability across evolving networks.

Abstract:

Many natural and technological applications generate time-ordered sequences of networks, defined over a fixed set of nodes; for example, time-stamped information about "who phoned who" or "who came into contact with who" arise naturally in studies of communication and the spread of disease. Concepts and algorithms for static networks do not immediately carry through to this dynamic setting. For example, suppose A and B interact in the morning, and then B and C interact in the afternoon. Infor...

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Publisher copy:
10.1103/physreve.83.046120

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 More from this journal
Volume:
83
Issue:
4 Pt 2
Pages:
046120
Publication date:
2011-04-01
DOI:
EISSN:
1550-2376
ISSN:
1539-3755
Language:
English
Pubs id:
pubs:401646
UUID:
uuid:1e549cf0-a7d0-4f7d-9f2d-0d3128439b3b
Local pid:
pubs:401646
Source identifiers:
401646
Deposit date:
2013-11-16

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