Literature DB >> 34131247

The scaling of social interactions across animal species.

Luis E C Rocha1,2, Jan Ryckebusch3, Koen Schoors4,5, Matthew Smith6.   

Abstract

Social animals self-organise to create groups to increase protection against predators and productivity. One-to-one interactions are the building blocks of these emergent social structures and may correspond to friendship, grooming, communication, among other social relations. These structures should be robust to failures and provide efficient communication to compensate the costs of forming and maintaining the social contacts but the specific purpose of each social interaction regulates the evolution of the respective social networks. We collate 611 animal social networks and show that the number of social contacts E scales with group size N as a super-linear power-law [Formula: see text] for various species of animals, including humans, other mammals and non-mammals. We identify that the power-law exponent [Formula: see text] varies according to the social function of the interactions as [Formula: see text], with [Formula: see text]. By fitting a multi-layer model to our data, we observe that the cost to cross social groups also varies according to social function. Relatively low costs are observed for physical contact, grooming and group membership which lead to small groups with high and constant social clustering. Offline friendship has similar patterns while online friendship shows weak social structures. The intermediate case of spatial proximity (with [Formula: see text] and clustering dependency on network size quantitatively similar to friendship) suggests that proximity interactions may be as relevant for the spread of infectious diseases as for social processes like friendship.

Entities:  

Year:  2021        PMID: 34131247     DOI: 10.1038/s41598-021-92025-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  26 in total

1.  Group size, grooming and fission in primates: a modeling approach based on group structure.

Authors:  Cédric Sueur; Jean-Louis Deneubourg; Odile Petit; Iain D Couzin
Journal:  J Theor Biol       Date:  2010-12-29       Impact factor: 2.691

2.  Growth, innovation, scaling, and the pace of life in cities.

Authors:  Luís M A Bettencourt; José Lobo; Dirk Helbing; Christian Kühnert; Geoffrey B West
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-16       Impact factor: 11.205

3.  The origins of scaling in cities.

Authors:  Luís M A Bettencourt
Journal:  Science       Date:  2013-06-21       Impact factor: 47.728

Review 4.  Explorations of close friendship: a concept analysis.

Authors:  H A Caroline
Journal:  Arch Psychiatr Nurs       Date:  1993-08       Impact factor: 2.218

5.  Survival Benefits of Group Living in a Fluctuating Environment.

Authors:  Sarah Guindre-Parker; Dustin R Rubenstein
Journal:  Am Nat       Date:  2020-04-06       Impact factor: 3.926

6.  Transitive responding in animals and humans: Exaptation rather than adaptation?

Authors:  J D Delius; M Siemann
Journal:  Behav Processes       Date:  1998-02       Impact factor: 1.777

Review 7.  Measuring contact patterns with wearable sensors: methods, data characteristics and applications to data-driven simulations of infectious diseases.

Authors:  A Barrat; C Cattuto; A E Tozzi; P Vanhems; N Voirin
Journal:  Clin Microbiol Infect       Date:  2014-01       Impact factor: 8.067

Review 8.  Two social lives: How differences between online and offline interaction influence social outcomes.

Authors:  Alicea Lieberman; Juliana Schroeder
Journal:  Curr Opin Psychol       Date:  2019-07-02

9.  Primate social group sizes exhibit a regular scaling pattern with natural attractors.

Authors:  R I M Dunbar; Padraig Mac Carron; Susanne Shultz
Journal:  Biol Lett       Date:  2018-01       Impact factor: 3.703

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  2 in total

1.  Turnover in close friendships.

Authors:  Chandreyee Roy; Kunal Bhattacharya; Robin I M Dunbar; Kimmo Kaski
Journal:  Sci Rep       Date:  2022-06-30       Impact factor: 4.996

Review 2.  Behavioral Neuroscience in the Era of Genomics: Tools and Lessons for Analyzing High-Dimensional Datasets.

Authors:  Assa Bentzur; Shahar Alon; Galit Shohat-Ophir
Journal:  Int J Mol Sci       Date:  2022-03-30       Impact factor: 5.923

  2 in total

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