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      Network Analysis and Theory in Shark Ecology—Methods and Applications
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      Chapter

      Network Analysis and Theory in Shark Ecology—Methods and Applications

      DOI link for Network Analysis and Theory in Shark Ecology—Methods and Applications

      Network Analysis and Theory in Shark Ecology—Methods and Applications book

      Network Analysis and Theory in Shark Ecology—Methods and Applications

      DOI link for Network Analysis and Theory in Shark Ecology—Methods and Applications

      Network Analysis and Theory in Shark Ecology—Methods and Applications book

      Edited ByJeffrey C Carrier, Michael R. Heithaus, Colin A. Simpfendorfer
      BookShark Research

      Click here to navigate to parent product.

      Edition 1st Edition
      First Published 2018
      Imprint CRC Press
      Pages 20
      eBook ISBN 9781315317120
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      ABSTRACT

      Tristan Guttridge Bimini Biological Field Station Foundation, South Bimini, Bahamas

      David M.P. Jacoby Institute of Zoology, Zoological Society of London, London, United Kingdom

      18.1 INTRODUCTION

      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.

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