文献类型：期刊文献

英文题名：Social norms and cooperation in higher-order networks

作者：Ma, Yin-Jie[1,2,3];Jiang, Zhi-Qiang[1,2];Fang, Fan-Shu[3,4];Perc, Matjaz[5,6,7,8];Boccaletti, Stefano[3,9,10]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai, Peoples R China;[2]East China Univ Sci & Technol, Res Ctr Econophys, Shanghai, Peoples R China;[3]CNR, Inst Complex Syst, Via Madonna Piano 10, I-50019 Sesto Fiorentino, Italy;[4]Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing, Peoples R China;[5]Univ Maribor, Fac Nat Sci & Math, Koroska Cesta 160, Maribor 2000, Slovenia;[6]Community Healthcare Ctr Dr Adolf Drolc Maribor, Vosnjakova Ul 2, Maribor 2000, Slovenia;[7]Complex Sci Hub Vienna, Josefstadterstr 39, A-1080 Vienna, Austria;[8]Kyung Hee Univ, Dept Phys, Kyungheedae Ro, Seoul, South Korea;[9]North Univ China, Sch Math, Sino Europe Complex Sci Ctr, Taiyuan 030051, Peoples R China;[10]Ningbo Univ Technol, Res Inst Interdisciplinary Intelligent Sci, Ningbo 315104, Zhejiang, Peoples R China

年份：2024

卷号：480

期号：2293

外文期刊名：PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

收录：;EI(收录号：20240050041);WOS:【SCI-EXPANDED(收录号:WOS:001266402900001)】；

基金：Y.M. and Z.J. acknowledge partial support from the National Natural Science Foundation of China (No. 72171084 and No. 91746108) and the China Scholar Council State Scholarship Fund (No. 202306740033). F.F. acknowledges partial support from the China Scholar Council State Scholarship Fund (No. 202306830151). M.P. was supported by the Slovenian Research and Innovation Agency (Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije) (Grant No. P1-0403 and No. N1-0232). S.B. acknowledges support from the project (No. PGR01177) 'Systems with higher order interactions and fractional derivatives for applications to AI and high performance computing' of the Italian Ministry of Foreign Affairs and International Cooperation.

语种：英文

外文关键词：simplicial complexes; evolutionary games; complex network; cooperation; social norms

摘要：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.