Mourier, J;
Lédée, E;
Guttridge, T;
Jacoby, D;
(2018)
Network Analysis and Theory in Shark Ecology—Methods and Applications.
In: Carrier, J and Heithaus, M and Simpfendorfer, C, (eds.)
Shark Research Emerging Technologies and Applications for the Field and Laboratory.
CRC Press: Boca Raton, USA.
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Abstract
In recent decades, network analyses have become ubiquitous in ecology, facilitating our understanding of linkages between paired entities, whether it be genes, proteins, individuals, species, or habitats (Blüthgen et al., 2008; Croft et al., 2008; Krause et al., 2007; Proulx et al., 2005; Wey et al., 2008). Network theory (also known as graph theory) originates from the mathematical and social sciences but has developed concurrently across many disciplines, including computational science, physics, management, genetics, and epidemiology (Newman, 2010), to name but a few.
| Type: | Book chapter |
|---|---|
| Title: | Network Analysis and Theory in Shark Ecology—Methods and Applications |
| ISBN-13: | 9781315317113 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1201/b21842-25 |
| Publisher version: | https://doi.org/10.1201/b21842-25 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10065180 |
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