ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2020
Collective information processing in human phase separation.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 0 citations in OpenAlex.
- Predicting the long-term collective behaviour of fish pairs with deep learning.Journal of the Royal Society, Interface · 2024Article
- Multi-scale analysis and modelling of collective migration in biological systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- A data-driven method for reconstructing and modelling social interactions in moving animal groups.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
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Authors and funding
9 authors at 1 institution in 1 country.
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Abstract
In our digital societies, individuals massively interact through digital interfaces whose impact on collective dynamics can be important. In particular, the combination of social media filters and recommender systems can lead to the emergence of polarized and fragmented groups. In some social contexts, such segregation processes of human groups have been shown to share similarities with phase separation phenomena in physics. Here, we study the impact of information filtering on collective segregation behaviour of human groups. We report a series of experiments where groups of 22 subjects have to perform a collective segregation task that mimics the tendency of individuals to bond with other similar individuals. More precisely, the participants are each assigned a colour (red or blue) unknown to them, and have to regroup with other subjects sharing the same colour. To assist them, they are equipped with an artificial sensory device capable of detecting the majority colour in their 'environment' (defined as their
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