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Population synchrony in small-world networks

E Ranta, M. S Fowler, V Kaitala, Mike Fowler Orcid Logo

Proceedings of the Royal Society B: Biological Sciences, Volume: 275, Issue: 1633, Pages: 435 - 442

Swansea University Author: Mike Fowler Orcid Logo

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DOI (Published version): 10.1098/rspb.2007.1546

Abstract

Small-world linkage is a revolutionary architecture describing a wide range of social, physical and biological networks. Small-worlds are based on regular network patterns, with some proportion of links replaced by random connections between nodes. We develop this approach for spatially structured p...

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Published in: Proceedings of the Royal Society B: Biological Sciences
ISSN: 0962-8452 1471-2954
Published: 2008
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URI: https://cronfa.swan.ac.uk/Record/cronfa13408
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first_indexed 2013-07-23T12:10:10Z
last_indexed 2018-02-09T04:44:08Z
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spelling 2013-09-17T15:02:40.5274387 v2 13408 2012-12-03 Population synchrony in small-world networks a3a29027498d4b43a3f082a0a5ba16b4 0000-0003-1544-0407 Mike Fowler Mike Fowler true false 2012-12-03 SBI Small-world linkage is a revolutionary architecture describing a wide range of social, physical and biological networks. Small-worlds are based on regular network patterns, with some proportion of links replaced by random connections between nodes. We develop this approach for spatially structured populations for the first time, generating novel results across a range of biological models: small-world patterns tend to decrease global synchrony across populations, reducing the risk of global catastrophes. As some element of stochastic dispersal is ubiquitous in natural populations, this work develops a more appropriate paradigm describing dispersal behaviour than purely regular or random linkage patterns. Journal Article Proceedings of the Royal Society B: Biological Sciences 275 1633 435 442 0962-8452 1471-2954 Small-world, dispersal, synchrony, random, Moran, network 31 12 2008 2008-12-31 10.1098/rspb.2007.1546 http://dx.doi.org/10.1098/rspb.2007.1546 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University 2013-09-17T15:02:40.5274387 2012-12-03T10:39:05.3277828 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences E Ranta 1 M. S Fowler 2 V Kaitala 3 Mike Fowler 0000-0003-1544-0407 4
title Population synchrony in small-world networks
spellingShingle Population synchrony in small-world networks
Mike Fowler
title_short Population synchrony in small-world networks
title_full Population synchrony in small-world networks
title_fullStr Population synchrony in small-world networks
title_full_unstemmed Population synchrony in small-world networks
title_sort Population synchrony in small-world networks
author_id_str_mv a3a29027498d4b43a3f082a0a5ba16b4
author_id_fullname_str_mv a3a29027498d4b43a3f082a0a5ba16b4_***_Mike Fowler
author Mike Fowler
author2 E Ranta
M. S Fowler
V Kaitala
Mike Fowler
format Journal article
container_title Proceedings of the Royal Society B: Biological Sciences
container_volume 275
container_issue 1633
container_start_page 435
publishDate 2008
institution Swansea University
issn 0962-8452
1471-2954
doi_str_mv 10.1098/rspb.2007.1546
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
url http://dx.doi.org/10.1098/rspb.2007.1546
document_store_str 0
active_str 0
description Small-world linkage is a revolutionary architecture describing a wide range of social, physical and biological networks. Small-worlds are based on regular network patterns, with some proportion of links replaced by random connections between nodes. We develop this approach for spatially structured populations for the first time, generating novel results across a range of biological models: small-world patterns tend to decrease global synchrony across populations, reducing the risk of global catastrophes. As some element of stochastic dispersal is ubiquitous in natural populations, this work develops a more appropriate paradigm describing dispersal behaviour than purely regular or random linkage patterns.
published_date 2008-12-31T03:15:20Z
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score 11.016235

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