Measuring social complexity

By T. Bergman, J. Beehner. 2015

158 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/b100157310d36a35fa4bbae5abfc0da3cde1c5a3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology, Evolution, Behavior and Systematics

1. K. Hammerschmidt
2. Peter M. Kappeler
3. K. Zuberbühler
4. M. Eberle
5. Fabien Genin
6. O. Schülke

In Social Psychology

1. Peter M. Kappeler
2. K. Hammerschmidt
3. K. Zuberbühler
4. M. Eberle
5. Fabien Genin
6. Claudia Fichtel
7. O. Schülke

In Sociology and Political Science

1. Peter M. Kappeler

Citations in the corpus

• Quantifying social complexity (2017, background): “In particular, it has been proposed that social complexity is the key driver in the evolution of primate brains and cognition (Bergman & Beehner, 2015; Platt, Seyfarth, & Cheney, 2016; Seyfarth & Cheney, 2015; but see DeCasien, Williams, & Higham, 2017).”
• A framework for studying social complexity (2019, background): “Bergman and Beehner (2015) recommended that social complexity should be measured as the number of differentiated relationships that individuals have, where “differentiated relationships are those that can be distinguished by an observer.””