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Social Network, Information Flow and Decision-Making Efficiency: A Comparison of Humans and Animals

Social Network, Information Flow and Decision-Making Efficiency: A Comparison of Humans and Animals
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Author(s): Cédric Sueur (Free University of Brussels, Belgium & Kyoto University, Japan)
Copyright: 2012
Pages: 14
Source title: Social Networking and Community Behavior Modeling: Qualitative and Quantitative Measures
Source Author(s)/Editor(s): Maytham Safar (Kuwait University, Kuwait)and Khaled Mahdi (Kuwait University, Kuwait)
DOI: 10.4018/978-1-61350-444-4.ch009

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Abstract

Every day, millions of humans make decisions about issues of interest for the group they represent. Equivalent processes have already been well described for animal societies. Many animal species live in groups and have to take collective decisions to synchronize their activities. However, group members not only have to take decisions satisfying the majority of individuals (i.e. decision accuracy) but also have a relatively short period to do so (i.e. decision speed). In decision-making, speed and accuracy are often opposed. The decision efficiency will vary according to the way individuals are inter-connected, namely according to the social network. However, the traditional approach used in management and decision sciences has been revealed to be insufficient to fully explain decision-making efficiency. This chapter addresses the question of how social network may enhance collective decision-making by increasing both the accuracy and the speed of decisions. Studies within different animal species are discussed. These studies include human beings, and combine field experiments, social network analysis, and modelling to illustrate how the study of animals may contribute to our understanding of decision-making in humans.

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