Social norms and cooperation in higher-order networks

Author:

Ma Yin-Jie123ORCID,Jiang Zhi-Qiang12ORCID,Fang Fan-Shu34,Perc Matjaž5678ORCID,Boccaletti Stefano3910

Affiliation:

1. School of Business, East China University of Science and Technology , Shanghai, People’s Republic of China

2. Research Center for Econophysics, East China University of Science and Technology , Shanghai, People’s Republic of China

3. CNR–Institute of Complex Systems, Via Madonna del Piano 10 , Sesto Fiorentino I-50019, Italy

4. College of Economics and Management, Nanjing University of Aeronautics and Astronautics , Nanjing, People’s Republic of China

5. Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160 , Maribor 2000, Slovenia

6. Community Healthcare Center Dr. Adolf Drolc Maribor , Vošnjakova ulica 2, Maribor 2000, Slovenia

7. Complexity Science Hub Vienna, Josefstädterstraße 39 , Vienna 1080, Austria

8. Department of Physics, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu , Seoul, Republic of Korea

9. Sino-Europe Complexity Science Center, School of Mathematics, North University of China , Taiyuan 030051, People’s Republic of China

10. Research Institute of Interdisciplinary Intelligent Science, Ningbo University of Technology, Zhejiang , Ningbo 315104, People’s Republic of China

Abstract

Recent research has been focused on understanding how cooperation is fostered through various mechanisms in cognitive settings, particularly through pairwise interactions. However, real-world interactions often extend beyond simple dyads, including multiple cliques with both pairwise and higher-order interactions. These complex interactions influence how individuals perceive and adapt their strategies based on social norms. We here introduce a model that explores the evolution of collective strategies and social norms within a heterogeneous environment, encompassing both dyadic and three-body interactions. We find that social norms play a crucial role in promoting cooperation in comparison with simply imitating the most successful neighbour. We also show that the rise of prosocial norms leads to increased cooperation across various social dilemmas, often resulting in shifts from defective to cooperative behaviour. Additionally, we observe that a moderate level of information privacy helps sustaining prosocial norms and curtails antisocial tendencies, even in situations where mutual defection might seem advantageous. Our research thus offers insights into the evolution of cooperation through the lens of social norm diffusion in higher-order networks.

Funder

Fundamental Research Funds for the Central Universities

Italian Ministry of Foreign Affairs and International Cooperation

China Scholar Council State Scholarship

National Natural Science Foundation of China

Publisher

The Royal Society

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