Can Multilayer Networks Advance Animal Behavior Research?

Matthew J Silk; Kelly R Finn; Mason A Porter; Noa Pinter-Wollman

doi:10.1016/j.tree.2018.03.008

Can Multilayer Networks Advance Animal Behavior Research?

Trends Ecol Evol. 2018 Jun;33(6):376-378. doi: 10.1016/j.tree.2018.03.008. Epub 2018 Apr 21.

Authors

Matthew J Silk¹, Kelly R Finn², Mason A Porter³, Noa Pinter-Wollman⁴

Affiliations

¹ Environment and Sustainability Institute, University of Exeter, Exeter, UK.
² Animal Behavior Graduate Group, University of California, Davis, Davis, CA, USA.
³ Department of Mathematics, University of California, Los Angeles, Los Angeles, CA, USA.
⁴ Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA. Electronic address: nmpinter@ucla.edu.

Abstract

Interactions among individual animals - and between these individuals and their environment - yield complex, multifaceted systems. The development of multilayer network analysis offers a promising new approach for studying animal social behavior and its relation to eco-evolutionary dynamics.

Keywords: complex societies; interactions; multilayer networks; network analysis; social behavior; temporal networks.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Review

MeSH terms

Animals
Behavior, Animal*
Biological Evolution*
Models, Biological*
Social Behavior*

Grants and funding

R01 GM115509/GM/NIGMS NIH HHS/United States