Animal social networks: an introduction

Jens Krause, David Lusseau, Richard James

Research output: Contribution to journalArticle

140 Citations (Scopus)

Abstract

Network analysis has a long history in the mathematical and social sciences and the aim of this introduction is to provide a brief overview of the potential that it holds for the study of animal behaviour. One of the most attractive features of the network paradigm is that it provides a single conceptual framework with which we can study the social organisation of animals at all levels (individual, dyad, group, population) and for all types of interaction (aggressive, cooperative, sexual etc.). Graphical tools allow a visual inspection of networks which often helps inspire ideas for testable hypotheses. Network analysis itself provides a multitude of novel statistical tools that can be used to characterise social patterns in animal populations. Among the important insights that networks have facilitated is that indirect social connections matter. Interactions between individuals generate a social environment at the population level which in turn selects for behavioural strategies at the individual level. A social network is often a perfect means by which to represent heterogeneous relationships in a population. Probing the biological drivers for these heterogeneities, often as a function of time, forms the basis of many of the current uses of network analysis in the behavioural sciences. This special issue on social networks brings together a diverse group of practitioners whose study systems range from social insects over reptiles to birds, cetaceans, ungulates and primates in order to illustrate the wide-ranging applications of network analysis.

Original languageEnglish
Pages (from-to)967-973
Number of pages7
JournalBehavioral Ecology and Sociobiology
Volume63
Issue number7
DOIs
Publication statusPublished - 1 May 2009

Keywords

  • Social networks
  • Animal interactions
  • Social organisation
  • poecilia-reticulata
  • transmission
  • organization
  • cooperation
  • dynamics
  • behavior
  • reveal

Cite this

Animal social networks : an introduction. / Krause, Jens; Lusseau, David; James, Richard.

In: Behavioral Ecology and Sociobiology, Vol. 63, No. 7, 01.05.2009, p. 967-973.

Research output: Contribution to journalArticle

Krause, Jens ; Lusseau, David ; James, Richard. / Animal social networks : an introduction. In: Behavioral Ecology and Sociobiology. 2009 ; Vol. 63, No. 7. pp. 967-973.
@article{311373efd2f1477eb895dd322b998a13,
title = "Animal social networks: an introduction",
abstract = "Network analysis has a long history in the mathematical and social sciences and the aim of this introduction is to provide a brief overview of the potential that it holds for the study of animal behaviour. One of the most attractive features of the network paradigm is that it provides a single conceptual framework with which we can study the social organisation of animals at all levels (individual, dyad, group, population) and for all types of interaction (aggressive, cooperative, sexual etc.). Graphical tools allow a visual inspection of networks which often helps inspire ideas for testable hypotheses. Network analysis itself provides a multitude of novel statistical tools that can be used to characterise social patterns in animal populations. Among the important insights that networks have facilitated is that indirect social connections matter. Interactions between individuals generate a social environment at the population level which in turn selects for behavioural strategies at the individual level. A social network is often a perfect means by which to represent heterogeneous relationships in a population. Probing the biological drivers for these heterogeneities, often as a function of time, forms the basis of many of the current uses of network analysis in the behavioural sciences. This special issue on social networks brings together a diverse group of practitioners whose study systems range from social insects over reptiles to birds, cetaceans, ungulates and primates in order to illustrate the wide-ranging applications of network analysis.",
keywords = "Social networks, Animal interactions, Social organisation, poecilia-reticulata, transmission, organization, cooperation, dynamics, behavior, reveal",
author = "Jens Krause and David Lusseau and Richard James",
note = "Copyright 2009 Elsevier B.V., All rights reserved.",
year = "2009",
month = "5",
day = "1",
doi = "10.1007/s00265-009-0747-0",
language = "English",
volume = "63",
pages = "967--973",
journal = "Behavioral Ecology and Sociobiology",
issn = "0340-5443",
publisher = "Springer",
number = "7",

}

TY - JOUR

T1 - Animal social networks

T2 - an introduction

AU - Krause, Jens

AU - Lusseau, David

AU - James, Richard

N1 - Copyright 2009 Elsevier B.V., All rights reserved.

PY - 2009/5/1

Y1 - 2009/5/1

N2 - Network analysis has a long history in the mathematical and social sciences and the aim of this introduction is to provide a brief overview of the potential that it holds for the study of animal behaviour. One of the most attractive features of the network paradigm is that it provides a single conceptual framework with which we can study the social organisation of animals at all levels (individual, dyad, group, population) and for all types of interaction (aggressive, cooperative, sexual etc.). Graphical tools allow a visual inspection of networks which often helps inspire ideas for testable hypotheses. Network analysis itself provides a multitude of novel statistical tools that can be used to characterise social patterns in animal populations. Among the important insights that networks have facilitated is that indirect social connections matter. Interactions between individuals generate a social environment at the population level which in turn selects for behavioural strategies at the individual level. A social network is often a perfect means by which to represent heterogeneous relationships in a population. Probing the biological drivers for these heterogeneities, often as a function of time, forms the basis of many of the current uses of network analysis in the behavioural sciences. This special issue on social networks brings together a diverse group of practitioners whose study systems range from social insects over reptiles to birds, cetaceans, ungulates and primates in order to illustrate the wide-ranging applications of network analysis.

AB - Network analysis has a long history in the mathematical and social sciences and the aim of this introduction is to provide a brief overview of the potential that it holds for the study of animal behaviour. One of the most attractive features of the network paradigm is that it provides a single conceptual framework with which we can study the social organisation of animals at all levels (individual, dyad, group, population) and for all types of interaction (aggressive, cooperative, sexual etc.). Graphical tools allow a visual inspection of networks which often helps inspire ideas for testable hypotheses. Network analysis itself provides a multitude of novel statistical tools that can be used to characterise social patterns in animal populations. Among the important insights that networks have facilitated is that indirect social connections matter. Interactions between individuals generate a social environment at the population level which in turn selects for behavioural strategies at the individual level. A social network is often a perfect means by which to represent heterogeneous relationships in a population. Probing the biological drivers for these heterogeneities, often as a function of time, forms the basis of many of the current uses of network analysis in the behavioural sciences. This special issue on social networks brings together a diverse group of practitioners whose study systems range from social insects over reptiles to birds, cetaceans, ungulates and primates in order to illustrate the wide-ranging applications of network analysis.

KW - Social networks

KW - Animal interactions

KW - Social organisation

KW - poecilia-reticulata

KW - transmission

KW - organization

KW - cooperation

KW - dynamics

KW - behavior

KW - reveal

UR - http://www.scopus.com/inward/record.url?scp=65049087495&partnerID=8YFLogxK

U2 - 10.1007/s00265-009-0747-0

DO - 10.1007/s00265-009-0747-0

M3 - Article

VL - 63

SP - 967

EP - 973

JO - Behavioral Ecology and Sociobiology

JF - Behavioral Ecology and Sociobiology

SN - 0340-5443

IS - 7

ER -