Sociometrics of Macaca Mulatta IV: Network analysis of social structure of a pre-fission group

Chepko-Sade, B. Diane; Reitz, Karl; Sade, Donald Stone

doi:10.1016/0378-8733(89)90007-5

Cited by 26 publications

(19 citation statements)

References 12 publications

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“…measuring agonistic interactions, and assessing dominance rank [Aureli & de Waal, 2000;Chepko-Sade et al, 1989;Schino, 2001], we are now in a position to rigorously quantify and describe these roles using SNA. Brent et al [2011] provide a discussion of the similarities and differences between traditional and modern methods of SNA, and there are now multitudes of statistics that represent an individual ''influence'' upon a network.…”

Section: Network Statistics Measuring Attributes and Roles Of Individmentioning

confidence: 99%

How can social network analysis improve the study of primate behavior?

Sueur

Jacobs

Amblard

et al. 2010

American J Primatol

207

186

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When living in a group, individuals have to make trade-offs, and compromise, in order to balance the advantages and disadvantages of group life. Strategies that enable individuals to achieve this typically affect inter-individual interactions resulting in nonrandom associations. Studying the patterns of this assortativity using social network analyses can allow us to explore how individual behavior influences what happens at the group, or population level. Understanding the consequences of these interactions at multiple scales may allow us to better understand the fitness implications for individuals. Social network analyses offer the tools to achieve this. This special issue aims to highlight the benefits of social network analysis for the study of primate behaviour, assessing it's suitability for analyzing individual social characteristics as well as group/population patterns. In this introduction to the special issue, we first introduce social network theory, then demonstrate with examples how social networks can influence individual and collective behaviors, and finally conclude with some outstanding questions for future primatological research.

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Section: Network Statistics Measuring Attributes and Roles Of Individmentioning

confidence: 99%

How can social network analysis improve the study of primate behavior?

Sueur

Jacobs

Amblard

et al. 2010

American J Primatol

207

186

View full text Add to dashboard Cite

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“…SNA is rapidly establishing itself as a powerful tool for studying the structure and dynamics of social interactions among animals [Krause et al, 2007]. In primatology, SNA was already adopted quite early [Chepko-Sade et al, 1989;Dow & De Waal, 1989;Dunbar, 1984;Sade, 1972], but has gained increasing popularity only recently [Flack et al, 2006;Henzi et al, 2009;Kudo & Dunbar, 2001;Lehmann & Boesch, 2009;Lehmann & Dunbar, 2009;Lehmann et al, 2010;RamosFernández et al, 2009;Sueur & Petit, 2008;Wakefield, 2008]. However, although many behavioral ecologists welcome the new tools that SNA offers with enthusiasm, some authors have raised concerns about the sometimes ''careless'' application of SNA highlighting potential pitfalls and problems Lusseau et al, 2008;Whitehead, 2008].…”

Section: Introductionmentioning

confidence: 99%

Network measures for dyadic interactions: stability and reliability

Voelkl

Kasper²,

Schwäb

2011

American J Primatol

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Social network analysis (SNA) is a general heading for a collection of statistical tools that aim to describe social interactions and social structure by representing individuals and their interactions as graph objects. It was originally developed for the social sciences, but more recently it was also adopted by behavioral ecologists. However, although SNA offers a full range of exciting possibilities for the study of animal societies, some authors have raised concerns about the correct application and interpretation of network measures. In this article, we investigate how reliable and how stable network measures are (i.e. how much variation they show under re-sampling and how much they are influenced by erroneous observations). For this purpose, we took a data set of 44 nonhuman primate grooming networks and studied the effects of re-sampling at lower re-sampling rates than the originally observed ones and the inclusion of two types of errors, "mis-identification" and "mis-classification," on six different network metrics, i.e. density, degree variance, vertex strength variance, edge weight disparity, clustering coefficient, and closeness centrality. Although some measures were tolerant toward reduced sample sizes, others were sensitive and even slightly reduced samples could yield drastically different results. How strongly a metric is affected seems to depend on both the sample size and the structure of the specific network. The same general effects were found for the inclusion of sampling errors. We, therefore, emphasize the importance of calculating valid confidence intervals for network measures and, finally, we suggest a rough research plan for network studies.

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“…While the first two species exhibit a despotic dominance style, the third species is egalitar ian [1,3], Most investigators of kinship relations have concentrated on only a few aspects of social interactions such as grooming and close proximity, agonistic support or dominance re lations [4][5][6], Only a few observers have ana lysed the whole complex of basic affiliative and agonistic patterns [1,7], It is our belief, however, that only such an approach can real ly be fruitful for an appropriate understand ing of mechanisms of group cohesiveness.…”

Section: Introductionmentioning

confidence: 99%

Kinship and Different Dominance Styles in Groups of Three Species of the Genus Macaca (M. arctoides, M. mulatta, M. fascicularis)

Butovskaya

1993

IJFP

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Single groups with small matrilines of 3 species of the genus Macaca (M. arctoides, M. mulatta, M. fascicularis) were investigated. The aim of the study was to find out how affiliative preferences towards close kin correlate with the distribution of aggression and support in agonistic encounters among individuals, and whether such tendencies differ between species with different dominance styles. It was found that aggression between kin was less frequent than between non-kin in all 3 groups. Kinship was not a decisive factor in the choice of partners for close spatial proximity in any of the 3 species. Animals preferred to groom relatives significantly more frequently only in the M. mulatta group. A kin effect was clearly expressed in the choice of objects of support in aggressive conflicts in M. mulatta and M. fascicularis, whereas in M. arctoides such an effect was absent. In the M. mulatta and M. arctoides groups, animals preferred to support victims, while in the M. fascicularis group aggressors were preferentially supported. Our data supported conclusions about differences in the number of social parameters in species with different dominance styles. In species with relaxed social hierarchies (M. arctoides), there is a strong tendency towards cohesive relations with all social categories, while in groups with rigid hierarchies (M. mulatta; M. fascicularis) cohesive tendencies are largely concentrated in the direction of related individuals.

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Sociometrics of Macaca Mulatta IV: Network analysis of social structure of a pre-fission group

Cited by 26 publications

References 12 publications

How can social network analysis improve the study of primate behavior?

How can social network analysis improve the study of primate behavior?

Network measures for dyadic interactions: stability and reliability

Kinship and Different Dominance Styles in Groups of Three Species of the Genus Macaca (M. arctoides, M. mulatta, M. fascicularis)

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